Current job openings at Databricks | Databricks

You'll work on short to medium-term customer engagements using the Databricks Platform, tackling big data challenges. Your core impact will be **guiding strategic customers** through transformational big data projects and migrations. You'll **architect and implement** production-grade MVPs and reference architectures.

You'll own the **Partner Well-Architected Framework** and build **production-grade reference implementations** for Databricks' Built-On ecosystem. You'll collaborate with VP/C-level partners to co-architect their platforms and influence the product roadmap.

You'll **recruit and scale a global partner ecosystem** for Databricks' healthcare and life sciences platform. You'll own strategy for top ISVs, bridging Product, Engineering, and Field teams. This role offers a unique opportunity **to shape the data infrastructure for BioPharma, Providers, and Payers**.

You'll shape key data science areas like usage forecasting and product analytics at **Databricks**, working closely with Product, Sales, and Customer Success to drive **data-driven decisions**. You'll also **mentor data scientists** and build self-serve internal data products.

You'll **lead technical strategy for Greenfield accounts** in the Nordics, acting as a trusted advisor to VP+ leaders. You'll drive adoption of the Databricks Data Intelligence Platform and **coach junior team members**, ensuring sustained customer impact.

You'll lead a team building the configuration and feature flag platform that enables thousands of engineers to ship changes safely. Your core impact is reducing incident blast radius and driving automated mitigation across Databricks' **multi-cloud infrastructure**. You'll shape the **developer experience** for safe, opinionated rollout workflows.

You'll work with a collaborative, customer-focused team to demonstrate how the **Databricks Data Intelligence Platform** solves complex data challenges. Your core impact is forming successful relationships with **Greenfield (New Logo) clients** in the French startup market. You'll develop into a trusted advisor on architecture and implementation.

You'll **drive adoption of Databricks' Lakebase product line** within enterprise accounts. You'll collaborate with account teams to design engagement strategies and deliver technical presentations. This role offers the chance to **shape product roadmap** using field insights.

You'll shape the future of big data by working with sophisticated data engineering and data science teams. You'll partner with sales to provide technical leadership and implement proof of concepts for strategic projects. This role offers the chance to **become an expert** in open-source projects like Apache Spark and Delta Lake.

You'll lead the technical strategy for Databricks' largest enterprise accounts, **driving adoption of ML/AI solutions**. You'll build technical champions and align strategies to maximize business outcomes. This role offers **high impact** at a leading data and AI company with a strong compensation package.

You'll lead the growth of the Databricks Data Intelligence Platform as a **trusted advisor** to customers. You'll partner with sales to identify use cases, develop architectures, and guide implementations for **meaningful business outcomes**. This role offers the chance to become an expert in **open source projects** like Apache Spark and Delta Lake.

You'll be one of the first fullstack engineers in the NYC office, building new products from the ground up in a **0-to-1 environment** using **GenAI-first approaches**. Your core impact is creating simple, powerful interfaces for complex data and workflows.

You'll **embed with strategic customers** to design and deliver custom fullstack applications on the Databricks platform, owning architecture from data pipelines to user interfaces. Your work **drives measurable outcomes** by solving complex technical problems in enterprise environments. This role uniquely combines **hands-on engineering with customer-facing impact**.

You'll support **global recruiting operations** at **Databricks**, maintaining and improving processes, tools, and reporting. You'll execute small initiatives, resolve Tier 1 inquiries, and assist with ATS administration and system testing. This role offers exposure to AI and automation in recruitment.

You'll design and build high-performance SQL drivers that power the majority of Databricks' data warehousing traffic. You'll engage with the open source community and evolve Partner Connect to **grow the partner ecosystem** and drive **customer satisfaction**.

You'll partner closely with Field and Engineering teams to deliver high-touch support for Databricks' largest strategic customers. Your core impact is triaging complex issues in **Apache Spark** and **data technologies** to unblock critical challenges. This role offers deep technical work with the **Databricks Data Intelligence Platform**.

You'll serve as the operational leader and strategic partner for the **Bangalore support team**, owning critical support operations workflows and rhythms. You'll **drive cross-functional alignment** across Support, Product, Engineering, and R&D Ops to improve team effectiveness. This role uniquely blends product operations rigor with hands-on execution in a fast-moving AI company.

You'll join Databricks to advise **enterprise customers** on adopting the **Data Intelligence Platform**, collaborating with a cross-functional team to solve complex data challenges. You'll develop customer engagement strategies and influence stakeholders at all levels.

You'll design and execute the AMER ISV GTM strategy for Databricks, driving **competitive advantage** to ISVs and accelerating growth. Core impact includes launching sales programs, fostering ecosystem collaboration, and enabling field teams to **unlock new use cases** with top partners.

You'll collaborate with Databricks' largest enterprise customers to accelerate their **data and AI transformation**. As a strategic technical leader, you'll drive adoption of the Databricks Data Intelligence Platform at the C-suite level. This role offers high visibility and the chance to shape long-term data strategies.

You'll own the global GTM and enablement strategy for Lakebase, Databricks' serverless PostgreSQL database, building AI-powered enablement tools and scalable demo environments. Your work will directly empower a global field of Solutions Architects to confidently position and win Lakebase deals. This is a **founding enablement role** where you'll **write the playbook from scratch**.

You'll **drive adoption of Databricks' Lakebase product** by engaging clients as a trusted advisor. Your impact will shape product roadmap through field insights and enable enterprise-scale solutions. This role offers **direct influence on a strategic product line** with **global collaboration across GTM and engineering teams**.

You'll lead a team of Delivery Solution Architects at Databricks, working with Sales and Engineering to drive customer adoption. Your impact will include **managing diverse teams**, **reducing customer risk**, and **accelerating growth** for major clients.

You'll design and launch new learning experiences that scale user enablement globally at Databricks. You'll own the strategy and execution of programs from pilot to global scale, leveraging an AI-first mindset. This high-impact role allows you to build from the ground up across departments and regions.

You'll lead **post-sale technical strategy** for complex Databricks customers, driving adoption and **maximizing platform value**. This hybrid role combines **commercial orchestration** with deep technical accountability across Data and AI use cases.

You'll support a **Senior Leader within Product Engineering** and the **SVP of Corporate Development Ventures** at Databricks. Your core impact is **operationalizing cross-functional strategies** and driving strategic initiatives across Engineering and Product. This high-visibility role offers unique exposure to both a massive engineering organization and a deal-driven corporate development environment.

You'll develop **cutting-edge GenAI solutions** for federal customers using Databricks' latest research, owning production rollouts of GenAI applications. Serve as a trusted technical advisor across domains, present at conferences like **Data + AI Summit**, and influence the product roadmap.

You'll drive strategy and execution across three teams: Query Observability, SQL Warehouse Management, and Account-Level Observability and Governance. You'll set the **durable architecture** for observability and actionable insights at all levels, and shape the next generation of **agentic experiences** that let users investigate and act on telemetry. This role offers high impact in a multi-stakeholder environment at a leading data and AI company.

You'll drive **technical strategy and execution** across three teams focused on **query observability, warehouse management, and account-level governance**. Your work will turn massive telemetry into actionable insights, building the next generation of agentic observability experiences for customers. You'll shape a multi-year architecture used by tens of thousands of customers.

You'll design and build **compute infrastructure systems** for Databricks' data and AI platform, launching **tens of millions of VMs daily**. Your work will enable engineers to quickly scale world-class products with **extreme elasticity and reliability**.

You'll lead a specialized team of pre-sales Solutions Architects focused on **Lakebase**, driving growth in **transactional database (OLTP) solutions**. You will shape a high-growth team that delivers customer value and builds strategic relationships.

You'll drive demand for Databricks' Data and AI Platform with top consulting firms, building brand awareness and **turning executive relationships into joint marketing motions** that grow pipeline and customer adoption. You'll collaborate with Business Development, Solution Architects, and Regional Marketing to deliver **measurable business impact** through co-marketing campaigns and partner enablement.

You'll work on **short to medium term customer engagements** using the Databricks platform, providing **data engineering, data science, and cloud technology projects**. Your core impact is helping customers get the most value out of their data through **designing and building reference architectures** and productionalizing use cases.

You'll work on **customer engagements** solving big data challenges using the Databricks platform, providing **data engineering, data science, and cloud technology projects**. You'll complete projects to specification with excellent customer service, reporting to the regional Manager/Lead.

You'll lead the strategy and execution of enterprise-wide IAM capabilities at **Databricks**, a leading data and AI company. Your core impact is ensuring identity systems are **secure, scalable, and aligned with Zero Trust principles** to support global growth. This role offers the chance to shape the company's identity strategy during a **rapid growth phase**.

You'll lead a team of data scientists tackling **infrastructure challenges** like capacity planning and performance optimization at Databricks. Your insights will directly influence **engineering decisions** to improve reliability and efficiency. This role offers the chance to shape **data-driven strategies** at a leading data and AI platform.

You'll design and build systems for Databricks' service-to-service communication across thousands of clusters in a multi-cloud environment. Your work will enable **seamless connectivity** and **reliable performance** for critical workloads. This role offers a chance to tackle **large-scale distributed system challenges** at a leading data and AI platform.

You'll join the Incident Response team at **Databricks**, using our own platform for near-real-time log analytics and forensics. You will conduct security analysis, respond to high-priority alerts, and build automations to **scale incident response**. This role offers the chance to work on **AI and agentic capabilities** in a security setting.

You'll design and build the next-generation query engine and structured storage system at Databricks, working on **query compilation**, **distributed execution**, and **vectorized execution**. Your work will directly impact the Lakehouse architecture and unify data warehousing with advanced analytics. This role offers the chance to leapfrog state-of-the-art in a multi-year journey.

You'll define the vision, architecture, and strategy for Databricks' **partner ecosystem**, enabling developers and partners to build impactful solutions. Your work will drive **seamless integrations** and shape the future of data and AI platforms.

You'll join a team building infrastructure and products for the Databricks platform at scale. Your work will power **distributed systems**, **at-scale service architecture**, and **data pipelines** that serve millions of cluster-hours per day. This role offers the chance to solve deep technical challenges alongside the creators of Apache Spark™.

You'll design the **next-generation query engine** for the **Databricks Lakehouse platform**, leapfrogging state-of-the-art in distributed SQL execution. Your work will directly impact **millions of data workflows** across thousands of organizations. This is a rare opportunity to shape the future of data architecture from the ground up.

You'll join as a founding member of the Belgrade site, building the **Data Intelligence Platform** that powers **distributed systems** and **cloud storage backends** like AWS S3, GCS, and Azure Blob Store. You'll have a direct impact on the core infrastructure that enables customers to store and access massive amounts of data.

You'll design and optimize the inference engine for **Databricks' Foundation Model API**, working at the intersection of research and production. Your work will touch the **full GenAI inference stack** from kernels to orchestration, ensuring fast, scalable LLM serving. This role offers the chance to **collaborate with researchers** to bring novel model architectures into production.

You'll help customers accelerate value through adoption of the **Databricks platform**, orchestrating engagements to ensure success. You'll partner with Sales, Field Engineering, and Product teams to drive delivery excellence. This role is strategic, cross-functional, and customer-facing.

You'll **lead a team of Solutions Architects** serving **Intelligence Community and Department of Defense customers**, driving adoption of Databricks' data and AI platform. You'll **set technical sales strategy** and ensure your team delivers transformative outcomes. This role offers the chance to shape a high-growth team at a leading data and AI company.

You'll lead a team of Partner Solution Architects at Databricks, helping mature consulting SI partner development. Your influence will accelerate customer success through a global partner ecosystem. You'll guide the team to drive adoption of the **Databricks platform** into partner solutions, establishing partners as trusted advisors in **lakehouse architecture**.

You'll lead the **Security Infrastructure Operations** team at **Databricks**, managing cloud identity, access, and environment changes. Your goal is to ensure engineers can move fast without compromising security. This high-visibility role partners across the company to scale automation and compliance.

You'll **shape the future of enterprise AI** by defining the vision for how Databricks helps customers harness generative AI and agents. You'll **partner with world-class engineering and research teams** to turn cutting-edge AI advancements into practical tools. This role offers the chance to **engage directly with data and AI leaders** to uncover new use cases.

You'll **own Databricks for Good** end to end, designing programs that apply **data and AI to real-world challenges**. You'll shape the narrative and build partnerships with nonprofits, universities, and public-interest organizations. This role stands out as a chance to **define social impact at an enterprise scale**.

You'll identify performance bottlenecks across Databricks' **large-scale cloud platform** and collaborate with teams to optimize latency, scalability, and cost. Your work will directly impact **millions of virtual machines** processing exabytes of data daily. This role offers the chance to drive **industry-leading performance** across all major cloud providers.

You'll **lead the growth of Databricks' Unified Analytics Platform** for **public sector clients**, partnering with sales and customers to identify use cases, develop architectures, and guide implementations. Your impact will drive **customer adoption of big data and AI solutions**.

You'll lead **technical pre-sales engagements** for Databricks' **public sector clients**, designing big data architectures using **Apache Spark and Delta Lake**. As a trusted advisor, you'll guide customers through proof-of-concepts and drive adoption of the Databricks Unified Analytics Platform.

You'll work with a collaborative, customer-focused team to demonstrate how Databricks' Data Intelligence Platform helps customers solve complex data challenges. You'll gain excitement about Databricks through **hands-on evaluation** and **Spark programming**, integrating with the wider cloud ecosystem. You'll contribute to building the Databricks technical community through workshops, seminars, and meet-ups.

You'll work with a collaborative, customer-focused team to demonstrate how our **Data Intelligence Platform** solves complex data challenges. You'll build relationships with clients and provide **technical and business value** in collaboration with account executives. This role offers the chance to grow into an independently operating Solutions Architect.

You'll join Databricks as a Sr. Solutions Engineer, working with a collaborative team to demonstrate the Databricks Data Intelligence Platform. Your core impact will be solving complex data challenges and building **trusted advisor relationships** with clients. You'll also contribute to the technical community through **workshops and meet-ups**, developing both technically and in pre-sales.

You'll build the **substrate powering AI infrastructure** for thousands of customers, enabling data apps, AI agents, model training, and serving at scale. Your work on **LLM infrastructure** will handle trillions of tokens per week. Join a **high-agility team** operating at the frontier of AI.

You'll build the substrate that powers AI agents, model training, and vector search at Databricks. Your work will **shape how developers and data scientists build and interact with AI** on the platform. Join a high-agency team operating at the frontier of **AI infrastructure** with deep ties to research and enterprise use cases.

You'll work with your team and product management to **make insights from data simple**. You'll set the foundation for building **robust, scalable, and delightful products**. This role impacts how customers achieve the full project lifecycle from loading data to deploying production artifacts.

You'll build **next-generation distributed data storage and processing systems** at **Databricks**, enabling customers to solve tough problems like security threat detection and drug development. You'll drive performance and reliability at a massive scale, empowering thousands of organizations worldwide.

You'll help build the world's best data and AI infrastructure platform at Databricks. Core impact: making insights from data simple for customers through full-stack engineering. The role stands out as part of a new R&D center in Vancouver driving product innovation.

You'll build and run the world's best data and AI infrastructure platform at Databricks, focusing on **security infrastructure** to protect customer data. Your core impact is identifying and plugging key gaps to make Databricks safer. This role stands out for its influence across the engineering organization and representation at industry conferences.

You'll work on short to medium term customer engagements using the Databricks platform, providing data engineering, data science, and cloud technology projects. You will **design and build reference architectures** and **productionalize customer use cases**. This role offers exposure to **cutting-edge big data and AI applications**.

You'll build **next-generation distributed data storage and processing systems** on the Runtime team at Databricks. Your work will **outperform specialized SQL query engines** while supporting diverse workloads from ETL to data science. You'll contribute to **open source projects like Apache Spark** and impact how data teams solve complex problems.

You'll join the Runtime team building **next-gen distributed data storage and processing systems** that outperform SQL engines while supporting diverse workloads from ETL to data science. Your impact will span projects like **Apache Spark**, **Delta Lake**, and **cloud storage** backends. This role offers the chance to work on open source and cutting-edge data infrastructure.

You'll serve as a key link between engineering and the community of developers building on Postgres and Neon. You'll help maintain our TypeScript SDK, CLI, and MCP server while creating content and engaging with developers. The role focuses on staying ahead of the AI curve and ensuring **developer experience** is world-class.

You'll oversee the Databricks Delivery Partner Program, working with the Professional Services team to accelerate **customer project outcomes** via system integrators. You'll manage **partner relationships** and **co-delivery engagements** with Global and Regional System Integrators, ensuring high-quality delivery.

You'll lead the technical direction of **Unity Catalog's enterprise-grade governance** for Databricks' data intelligence platform. Your work will directly shape **scalable solutions** that empower organizations to govern **Lakehouse assets** securely. You'll collaborate with world-class engineers on industry-leading data governance.

You'll be the **Product Manager** for the **Databricks Runtime team** in Berlin, working at the intersection of query processing, storage, infrastructure, and data governance. You'll own the end-to-end product management process, gathering customer requirements and defining roadmaps. This role offers the chance to **impact how customers process petabytes of data** daily.

You'll design and build **micro-services** for the **Databricks data and AI platform**, working with a team to prioritize, implement, and operate large-scale backend systems. Your impact spans features that enable data teams globally. You'll tackle challenges at **massive cloud scale**, handling petabytes of data across millions of virtual machines.

You'll design and build **high-throughput, low-latency inference systems** for **frontier AI models** at Databricks. Your work will directly shape the **product experience and core infrastructure** of the Foundation Model Serving API.

You'll **build and run the world's best data and AI infrastructure platform**, enabling customers to solve problems from security threat detection to cancer drug development. Your core impact is making Databricks safer by **identifying and plugging key security gaps** in infrastructure and services. You'll **represent the security engineering discipline** across the company and at industry conferences.

You'll lead **late-stage, high-value deals** as part of a small elite sales team, engaging **CIOs and CDOs** to drive platform transformation. You'll spend equal time externally shaping customer vision and internally coaching account teams to raise field standards.

You'll build infrastructure and products for the Databricks platform at scale, tackling challenges in **distributed systems**, **service architecture**, and **data infrastructure**. Your work will power the data and AI needs of over 10,000 organizations.

You'll design and implement the next-generation distributed query engine and storage system for the Databricks Lakehouse platform. Your work will directly **advance query compilation and optimization**, building systems that outperform traditional data warehouses. This role offers the chance to shape the future of data analytics at scale.

You'll join Databricks' field engineering team to help **Utility customers adopt the Data Intelligence Platform**. You'll design custom data solutions and lead technical proofs-of-concept, turning complex challenges into **real-world impact**. This role offers autonomy and the chance to **shape the future of data and AI** across the region.

You'll join Databricks' engineering team to build and run the world's best data and AI infrastructure platform, serving thousands of enterprises. You'll drive large-scale distributed systems from development to scalable solutions with clear business impact. **Mentor senior engineers** and lead high-impact company projects.

You'll design and develop backend systems for **Delta Lake**, the core storage layer of the Databricks Lakehouse. Your impact will drive **industry-leading write performance** at massive scale. You'll also provide **technical leadership and mentorship** to the team.

You'll define the security engineering strategy for **Databricks' Trust Safety** team and build **large-scale distributed systems** to protect customer data. Your work will directly impact **cancer drug development and security threat detection**.

You'll define the **technical strategy** for enterprise accounts, driving **adoption of ML/AI** on the Databricks platform. You'll be the main technical voice, leading customers on a **transformational data journey** with up to 50% travel in LATAM.

You'll work with the Enterprise Account Executive to drive technical strategy for large accounts, leading adoption of **ML/AI solutions** in the **Healthcare Life Sciences** space. Your impact includes building technical champions and aligning strategies around **Databricks' data platform**. You'll also mentor team members and represent Databricks as the main technical voice for clients.

You'll work on **short to medium term customer engagements** using the **Databricks platform** to solve big data challenges. Your core impact will be guiding strategic customers through **transformational big data projects**, from design to deployment. You'll report to the Sr. Manager, Forward Deployed Engineering.

You'll define and own the product vision, strategy, and roadmap for Databricks' **compute platform**, which powers all workloads. You'll engage with customers and cross-functional teams to launch high-impact features and drive adoption. This role offers the chance to shape a **mission-critical platform** at a leading data and AI company.

You'll define and drive the vision for how Databricks helps customers harness **generative AI** and **agents**. Partner with world-class engineering and research teams to transform **cutting-edge AI advancements** into practical, trusted tools. Engage directly with data and AI leaders to uncover new use cases.

You'll drive **the vision and roadmap** for Databricks Free Edition, making data and AI learning engaging and accessible. You'll collaborate with cross-functional teams to deliver **hands-on learning journeys** within the platform. Your work will empower **students and aspiring professionals** worldwide.

You'll work with **Enterprise Account Executives** to define technical strategy for **large accounts**, driving adoption of **ML/AI** solutions. You'll be the main technical voice guiding customers on a transformational journey using Databricks.

You'll define and direct the technical strategy for **large enterprise accounts**, helping them adopt Databricks as part of their **data-driven transformation**. You'll lead a team that builds proofs of concept and drives **wider adoption of ML/AI**.

You'll build the world's best data and AI infrastructure platform as a founding member of the Belgrade site. You'll have impact spanning **distributed systems**, **at-scale service architecture**, and **developer experience**. This is a rare opportunity to shape the foundation of Databricks' Lakehouse vision.

You'll build **observability solutions** for **Databricks' data infrastructure platform**, ensuring reliability at massive scale. Your work will impact millions of virtual machines and exabytes of data. You will **establish logging, metrics, and tracing standards** and optimize observability costs.

You'll work with clients on short to medium term engagements using the **Databricks platform** to solve big data challenges. You'll provide data engineering, data science, and cloud technology projects, integrating with client systems and training. This role offers the chance to guide strategic customers through **transformational big data projects** and **AI applications**.

You'll join Databricks' engineering team to build and run the **world's best data and AI infrastructure platform** for thousands of enterprises. You'll own product or infrastructure direction in a major area, driving it from initial development to **scalable solutions with clear business impact**. This role offers the chance to **tackle complex problems at massive scale** and mentor senior engineers.

You'll guide the technical evaluation phase in a hands-on environment throughout the sales process at Databricks. You'll help customers achieve **data-driven outcomes** using the Databricks Lakehouse Platform and integrate it into their enterprise ecosystem. This role offers you the chance to **grow as a leader** while solving big data, analytics, and AI challenges.

You'll join Databricks to demonstrate how our **Data Intelligence Platform** helps customers solve complex data challenges. You'll build relationships with clients across Indonesia and scale best practices by authoring reference architectures. This role offers the chance to become a trusted advisor on big data analytics and AI.

You'll join Databricks as a **senior security engineer** securing enterprise applications and **AI-adjacent workflows**. You'll identify risk and define security requirements for integrations, data flows, and trust boundaries. This role shapes how **Enterprise Security supports SaaS and automation**.

You'll work on **short to medium term customer engagements** using the Databricks platform, providing **data engineering, data science, and cloud technology projects**. You'll guide strategic customers as they implement **transformational big data projects** and 3rd party migrations.

You'll lead the design, rollout, and adoption of **enablement programs** for Databricks Technical Support Engineers, collaborating with Support leaders and SMEs. You'll drive improvements in **Support KPIs** through data-driven enablement initiatives. This role offers the chance to work on cutting-edge **data and AI technologies** at a leading company.

You'll **guide strategic customers** on implementing transformational big data and AI projects using the Databricks platform. You'll design and build **reference architectures** and productionalize customer use cases. This role offers **deep technical impact** across diverse client engagements.

You'll work on short to medium term customer engagements, providing **data engineering**, **data science**, and **cloud technology projects** using the Databricks platform. Your core impact will be guiding strategic customers through **transformational big data projects** and ensuring they get maximum value from their data.

You'll work with customers on **short to medium term engagements** using the Databricks platform, providing data engineering, data science, and cloud technology projects. Your core impact includes handling **varied customer technical projects** and guiding strategic customers through transformational big data initiatives. This role stands out as a **billable consulting position** with direct customer interaction.

You'll deliver **big data solutions** on the **Databricks platform** for public sector clients, handling data engineering, data science, and cloud projects. Your work directly helps customers maximize value from their data. This role offers the chance to impact **mission-critical projects** requiring U.S. citizenship and eligibility for a secret clearance.

You'll work on **short to medium term customer engagements** solving big data challenges using the **Databricks platform**. You'll provide data engineering, data science, and cloud technology projects to help customers get the most value out of their data. This role offers the chance to impact **mission-critical public sector projects**.

You'll guide strategic customers in implementing **transformational big data projects** using the Databricks platform. You'll provide **data engineering, data science, and cloud architecture** expertise to help clients maximize value from their data. This role blends technical delivery with client collaboration in the **public sector**.

You'll lead **Security Foundation Engineering** at Databricks, building the most trusted Data and AI platform. Your team will embed security into every platform layer, enabling customers to solve problems like cancer drug development. You'll shape strategy for secure frameworks and drive cross-functional security compliance initiatives.

You'll serve as the **technical bridge** between frontline support and engineering, resolving complex customer escalations on the **Databricks Data Intelligence Platform**. Your impact will reduce engineering distractions and improve product supportability. This role offers direct collaboration with core engineering teams at a **pioneering data and AI company**.

You'll build the customer-facing generative AI platform at Databricks Mosaic AI, working on the **full ML development lifecycle** from data generation to model serving. You'll own end-to-end implementation of product features and **backend distributed systems** that power training and serving of generative AI models. This role offers the opportunity to **contribute across the entire stack**, from user interfaces to low-level GPU orchestration.

You'll lead the adoption of the Databricks Unified Analytics Platform, helping customers solve complex data problems with **Apache Spark™**, **MLflow**, and **Delta Lake**. You'll design architectures for data and AI solutions, guide implementations, and partner with sales to build trusted advisor relationships.

You'll lead the adoption of **Databricks' Unified Analytics Platform** for startup customers, architecting solutions on public cloud providers. Your core impact is helping customers solve **tough data problems** using **Apache Spark, MLflow, and Delta Lake**. This role stands out for its focus on emerging enterprises and the opportunity to shape data and AI strategy.

You'll guide the technical evaluation of **The Databricks Lakehouse Platform** for digital native customers in Japan, driving **data-driven outcomes** through big data, analytics, and AI. You'll integrate the platform into their enterprise ecosystem and **lead technical workshops** to build community engagement.

You'll build the retrieval backbone for AI agents and search experiences at Databricks. Your work will ensure **instant, accurate insights** for both LLMs and human users. You'll tackle **hybrid retrieval** and **dual-optimization** challenges.

You'll build the world's best data and AI infrastructure platform, making Databricks safer for customers. You'll identify and plug key gaps in **security infrastructure** and **services**, representing the security engineering discipline across the organization.

You'll own the design and optimization of **high-performance GPU kernels** for our GenAI inference stack. You'll drive kernel-level improvements and **lead performance investigations** to push state-of-the-art inference at scale. This role offers the chance to **mentor engineers** and influence system architecture across ML and product teams.

You'll act as the **main technical voice** for up to 9 large enterprise clients, helping them adopt Databricks to **unlock data-driven transformation**. You'll lead the technical strategy and **mentor team members** while working closely with Account Executives.

You'll design and implement core database engine components like **query compilation optimization** and **distributed query execution** at Databricks, working on systems that process **exabytes of data daily** across **15+ million VMs**. You'll directly impact the performance and scalability of the Databricks Data Intelligence Platform.

You'll work on short to medium-term customer engagements using the Databricks platform, providing **data engineering**, **data science**, and **cloud technology projects**. Your core impact will be guiding strategic customers through transformational big data projects and **designing end-to-end architectures**. This role offers a chance to work with a leading data and AI company and a variety of impactful customer engagements.

You'll work with clients on big data challenges using the Databricks platform, delivering **data engineering** and **cloud technology** projects. Your core impact will be **guiding strategic customers** as they implement transformational big data and AI applications.

You'll work with clients on short to medium term engagements using the Databricks platform, providing data engineering, data science, and cloud technology projects. You'll guide strategic customers as they implement **transformational big data projects** and **end-to-end design and deployment** of AI applications.

You'll work on short to medium term customer engagements using the Databricks platform, providing **data engineering** and **cloud technology** projects. Your core impact will be guiding strategic customers as they implement **transformational big data projects**. You'll collaborate with engagement managers to scope professional services and ensure technical components meet customer needs.

You'll work on **short to medium term customer engagements** using the Databricks platform, providing **data engineering, data science, and cloud technology projects**. Your core impact is helping customers get the most value out of their data through **designing reference architectures and productionalizing use cases**.

You'll work on short to medium term client engagements, providing data engineering and cloud solutions using the Databricks platform. Your core impact is guiding customers through **transformational big data projects**, including design, build, and deployment of **AI applications** and **3rd party migrations**. This role is an excellent opportunity to shape data architectures for **public sector clients**.

You'll join Databricks' Professional Services team to deliver **big data solutions** on the Databricks platform for public sector clients. You'll design and build **reference architectures** and **data pipelines** to help customers maximize value from their data. This role offers exposure to cutting-edge **AI and big data technologies** in a customer-facing capacity.

You'll join the Applied ML/AI team at Databricks to apply **machine learning and optimization algorithms** to improve products like AutoML. You'll **build and deploy state-of-the-art ML models** in production, impacting performance and cost-efficiency across the platform. This role offers the chance to **shape the direction of applied ML** at a leading data and AI company.

You'll join as a founding member of the Berlin site, building the world's best Lakehouse Platform. Your work will impact **distributed systems**, **service architecture**, and **developer experience** for a platform used by over 50% of the Fortune 500.

You'll join a team building the core infrastructure of Databricks' data and AI platform. You'll design and implement **large-scale distributed systems** and **cloud-agnostic services** that power big data and machine learning workloads. This role offers the chance to work on cutting-edge problems at the intersection of ML and distributed systems.

You'll join **Databricks** in Vancouver, building and running the **world's best data and AI infrastructure platform**. You'll drive product innovation across teams like Log Analytics, AI/BI, Unity Catalog Business Semantics, and Databricks Apps. This is a chance to solve **large-scale distributed system challenges** at a company democratizing data and AI.

You'll join a team building the world's best data and AI infrastructure platform, working on products like **SQL Analytics Console** or **Jobs and Workflows**. You'll bring **delight through great user experience** in a modern SaaS environment. This role offers the chance to **design next-gen UI/UX** for interfacing with data at scale.

You'll work with a team and product management to make insights from data simple, focusing on the full product and user experience. You'll set the foundation for building robust, scalable, and delightful products for customers to achieve the full project lifecycle. This role stands out for its impact on enabling data teams to solve tough problems.

You'll join a **customer-focused team** at Databricks to help clients solve **complex data challenges** using the Data Intelligence Platform. You'll demonstrate technical expertise through hands-on evaluation and Spark programming, becoming a trusted advisor. Partner with Account Executives to drive technical and business value across your territory.

You'll design and build **backend systems** for Databricks' data and AI platform, focusing on the **Delta DML team** to deliver industry-leading write-path performance at massive scale. You'll provide **technical leadership** and mentorship while driving large-scale projects that impact thousands of customers.

You'll lead the **Materialized Views engineering team** at Databricks, building next-gen features for ETL and query acceleration. Your work will **process exabytes of data daily** for tens of thousands of customers. This role offers the chance to **shape the future of data engineering** at massive scale.

You'll define the security engineering vision for **Databricks' trusted platform**, protecting **customer data from bad actors**. Your work will directly impact how data teams solve the world's toughest problems, from threat detection to drug development.

You'll design and build **large-scale network connectivity platforms** powering Databricks' multi-cloud data and AI infrastructure, enabling millions of VMs across clouds. Your work will directly impact **scalability, reliability, and cost-efficiency** of compute resources. You'll operate at an org-wide level, **setting technical vision** and mentoring senior engineers.

You'll **define the security engineering vision** at Databricks, building **trusted infrastructure** for the world's leading data and AI platform. Your work will directly protect customer data from bad actors while enabling breakthroughs from security threat detection to drug development.

You'll own search quality for **Databricks' AI agents** and human users, optimizing hybrid retrieval with **Lucene/Elasticsearch** and **ranking algorithms**. Your work ensures accurate, hallucination-free insights powering data-driven decisions.

You'll serve as a technical architect for the **Lakeflow Engineering team**, owning the long-term direction of the **ETL product line** at Databricks. You'll shape systems that process exabytes of data daily and are used by tens of thousands of customers. This role sits at the frontier of **distributed data systems** and declarative pipeline orchestration.

You'll **tech lead the Unity Catalog Runtime Enforcement** team, building and hardening the runtime enforcement layer for **secure authorization and data access** across Databricks compute and clouds. Your work will reduce incidents and simplify customer choices by unifying enforcement semantics.

You'll **lead runtime enforcement** for Databricks' Unity Catalog, ensuring **secure authorization** across compute platforms. You'll drive **multi-year cross-org initiatives** and mentor a high-impact team. This role offers the chance to shape governance at massive scale.

You'll **lead** the Unity Catalog **runtime enforcement layer** ensuring secure data access across Databricks compute and clouds. Your work will **reduce incidents** and simplify governance for customers. This is a high-impact role shaping multi-year cross-org initiatives.

You'll **tech lead the Unity Catalog Runtime Enforcement** team at Databricks, building the authorization layer for our data and AI platform. Your work will **ensure secure, consistent data access** across compute engines and clouds. You'll drive multi-year initiatives that shape how we enforce governance at massive scale.

You'll lead **Unity Catalog runtime enforcement** at Databricks, enabling secure data access across our **data and AI platform**. Your work will directly improve how customers manage governance at massive scale.

You'll design and build **modern SaaS products** that bring delight to data teams. You'll work closely with product management to **shape user experience** for Databricks' data and AI platform. Join a team founded by engineers and customer obsessed.

You'll lead engineering teams building **available, scalable, and reliable software** for Databricks' data and AI platform. Your core impact: hiring great engineers, supporting career development, and ensuring high technical standards through processes and culture. You'll coordinate execution across teams to unblock cross-cutting projects.

You'll lead a team building Databricks' next-generation **Search platform** powering AI applications. Your impact spans Vector Search, Keyword Search, and Search Quality, enabling customers to find insights across massive datasets. This role offers the chance to shape the **long-term product strategy** for a foundational capability.

You'll **design and automate networking foundations** for large-scale compute clusters across major cloud providers. You'll lead the development of **secure and scalable connectivity** powering all data/AI workloads. This role offers a chance to solve **novel multicloud and distributed systems challenges** at a leading data/AI platform.

You'll join Databricks to help customers solve complex data challenges using the **Data Intelligence Platform**. You'll influence stakeholders and coach junior architects, contributing to **customer engagement strategies** and **technical community engagement** through workshops and seminars.

You'll develop ML models for **fraud and abuse detection** on the Databricks platform, working with **security and engineering teams** to protect customer data. You'll drive data-driven security strategy and **guide junior data scientists**.

You'll partner with leaders across Databricks as a strategic advisor on employee relations, driving scalable solutions for a **rapidly growing team**. Your impact includes consulting on **complex performance concerns** and conducting **sensitive investigations** across APAC.

You'll design and implement the next-generation **decoupled query engine** and **structured storage system** for Databricks' Lakehouse platform. Your work will enable **outperforming specialized data warehouses** while supporting diverse workloads from ETL to data science.

You'll lead **platform redesign** for the Core Experiences Org, owning critical infrastructure that powers **workspaces and notebooks** at scale. Your work will enable **10-100x growth** and revolutionize developer onboarding.

You'll join Databricks' **Developer Experience team** to build tools and infrastructure that **boost engineering velocity**. Your work will directly empower every engineer to do their best work by **improving build reliability and development environments**.

You'll develop the next generation of **observability platforms** at **Databricks**, building solutions that provide insights into the health and performance of our products and infrastructure. You'll manage infrastructure across nearly a hundred cloud regions, enabling all engineers and customers to monitor reliability.

You'll lead a team building infrastructure and products for the Databricks platform at **scale**. You'll **hire great engineers** and support their career development. Your impact spans **resource management infrastructure** powering big data and ML workloads.

You'll work with customers on short to medium term engagements using the Databricks platform, tackling **big data challenges** and implementing **data engineering and AI solutions**. You'll guide strategic customers through transformational projects, ensuring they get the most value from their data while collaborating with internal teams.

You'll lead a team of **Solutions Architects** focused on **Financial Services clients** in the mid-market segment. You'll help customers define their Data and AI strategy and transform their data engineering and ML/AI workloads. This role offers high growth potential at a leading data and AI company.

You'll build **infrastructure and products** for the Databricks platform at scale. Your work spans distributed systems, service architecture, and developer experience. You'll deliver reliable services for **cloud storage backends** like AWS S3 and Azure Blob Store.

You'll **own and evolve IT automation platforms** and lead **endpoint security programs** like MDM for Databricks' Digital Employee Experience team. Your work will **reduce friction across the company** by designing scalable automation for onboarding/offboarding and compliance.

You'll design and build **backend systems** for the world's best data and AI infrastructure platform at **massive scale**. Your work will directly impact how customers solve security threat detection and cancer drug development. Join a team that owns the core write-path for Delta Lake and drives open-source innovation.

You'll define and launch new governance and security capabilities for **Unity Catalog**, the metadata and governance foundation of the Databricks Lakehouse. Your work will enable data teams to **secure and discover data assets** at scale. You'll collaborate with enterprise customers and cross-functional teams to drive adoption. **This role offers the chance to shape the data governance platform** used by over 10,000 organizations.

You'll partner with Account Executives to define the technical strategy for **large Retail and CPG accounts**, driving adoption of **Databricks' Data Intelligence Platform**. Your impact will be helping customers become more data-driven through **ML and AI use cases**.

You'll own the product management process for the **Databricks Runtime** team in Amsterdam, working at the intersection of query processing, storage, and data governance. You'll drive features impacting **petabytes of customer data** daily and define product roadmaps.

You'll lead **platform incident investigations** and design **observability solutions** for the Databricks Data Intelligence Platform, serving as a critical first responder. Your work will minimize customer impact and drive **systemic reliability improvements** across a global infrastructure.

You'll own the strategy for Databricks' **Serverless Workspaces** platform, redefining customer onboarding by delivering **instant access to data and AI**. Your work will drive the transition from a 'configure-first' to a 'use-now' experience, impacting thousands of enterprises.

You'll build and operate **large-scale distributed systems** on the Databricks data and AI platform. Your work will directly impact **mission-critical customer workloads** across millions of virtual machines. You'll have the opportunity to join teams like **Compute Fabric or Data Science Infrastructure**.

You'll design and implement next-generation query engines and storage systems for Databricks' Lakehouse architecture. Your work will **leapfrog state-of-the-art** in areas like query compilation and distributed execution. This role offers the chance to **shape the future of data analytics** on a unified platform.

You'll design the next-generation **decoupled query engine** and **structured storage system** for the Databricks Lakehouse platform. Your work will **leapfrog state-of-the-art** in query compilation, distributed execution, vectorized execution, and data security. You'll drive requirements, write design documents, and mentor team members.

You'll **build the Data Intelligence Platform** at Databricks, enabling data teams to solve the world's toughest problems. You'll **design and run the metrics store** that powers all business and product decisions. This role offers the chance to **dogfood Databricks at massive scale** across multiple clouds.

You'll drive **next-generation logging infrastructure** at Databricks, enabling data teams to solve the world's toughest problems. You'll scale a platform processing **petabytes of logs daily** and enhance observability tools. Collaborate across teams to define best practices and mentor engineers.

You'll design and manage **billing systems** for Databricks' Data + AI platform, enabling innovative pricing strategies. Your work will directly impact **customer billing experience** across major cloud providers. You'll also leverage **AI and LLMs** to optimize cost insights and predictions.

You'll define the technical roadmap and build **AI-powered solutions** for critical internal workflows at Databricks. You'll drive engineering excellence and mentor a team of engineers. This role offers high visibility and impact on the company's growth.

You'll join as a founding member of the Belgrade site, building the world's best **data and AI infrastructure platform**. You'll own the full development cycle and tackle **distributed systems challenges** across essential service platforms. This role offers the opportunity to **shape the future of the Lakehouse** from the ground up.

You'll serve as the **technical bridge** between support and engineering, resolving **complex customer escalations** on the Databricks Data Intelligence platform. You'll perform **deep code-level analysis** of Apache Spark to address critical issues.

You'll work with a team to **build features and improve architecture** for the Databricks platform, owning the full software development lifecycle. You'll join a cohort with a dedicated mentor and support to start contributing to **impactful projects** soon after starting.

You'll lead technical strategy for **large enterprise accounts** at Databricks, driving adoption of **ML and AI solutions**. Your impact includes building technical champions and guiding customers on a **transformational data journey**.

You'll lead a team of ~20 engineers building the **Workspace Platform** that powers critical customer-facing capabilities across Databricks products. Your work will directly impact scaling the customer base 100x and supporting **agentic AI workloads**. This role stands out for its high visibility and cross-functional collaboration with product and infrastructure teams.

You'll join Databricks to build **infrastructure and products** for the data and AI platform at scale. Your work will power **serverless platforms** and **core cloud technologies** across multi-cloud environments. **Partner ecosystem** integration and application platform development are key focus areas.

You'll build the infrastructure that enables AI researchers and engineers to configure **training and serving environments** easily and reliably. Your work will directly impact how developers and data scientists interact with **AI on the Databricks platform**.

You'll join the Runtime team at Databricks, building the next generation of **distributed data storage and processing systems**. Your work will enable customers to run diverse workloads from ETL to data science with **relational query performance** and **rich programming abstractions**. This is an opportunity to make a massive impact on the data and AI infrastructure used by over 10,000 organizations worldwide.

You'll build **full-stack features** for a **GenAI observability and quality product** at Databricks, designing intuitive UIs and scalable backends to help customers monitor and improve their AI systems.

You'll guide customers in building **big data solutions** on the Databricks Lakehouse Platform, working with Solution Architects to design and implement essential workloads. Your impact includes providing technical leadership, architecting production-level workloads, and contributing to the community through tutorials and conferences. This role offers deep specialization in areas like performance tuning or machine learning.

You'll **lead the Model Serving engineering team** shaping both customer-facing capabilities and foundational infrastructure for **low-latency AI inference at scale** at Databricks. Your team will own the product experience, runtime, APIs, and reliability for a core platform pillar. Collaborate across product, platform, and research to drive **end-to-end delivery** and operational excellence.

You'll join Databricks' Trust Safety team to **build the most trusted data analytics platform** and **protect customer data from bad actors**. You'll identify and fix security gaps in infrastructure and services, representing the security engineering discipline across the organization. This role offers the chance to **shape the security strategy** at one of the fastest-growing SaaS companies.

You'll own and scale the **Databricks–Accenture alliance** across EMEA, driving measurable consumption growth. You'll serve as the **global executive lead for Avanade**, building multi-year joint plans. This is a high-visibility role shaping **ecosystem strategy** across Europe and globally.

You'll **set and execute co-sell strategies** with top AI labs like Anthropic, OpenAI, and Google Gemini, **managing executive relationships** and **driving programmatic GTM motions** across Databricks' global field teams. This high-visibility role sits at the center of enterprise AI partnerships, where you'll build QBRs, manage co-sell investment programs, and deliver measurable pipeline impact.

You'll **guide customers in cloud data warehousing transformations** using the Databricks Data Intelligence Platform. You'll help with evaluations and production planning for **business intelligence workloads**. This role offers deep technical growth through mentorship and training in a **customer-facing specialist role**.

You'll build **robust and scalable front-end experiences** for Databricks' data and AI platform. Your work will directly **empower data teams** to solve complex problems from data loading to production deployment. This role stands out for its focus on **shaping the product lifecycle** and customer impact.

You'll lead **messaging and content strategy** for Databricks' Financial Services vertical, bridging **technology and business needs** with powerful industry solutions. You'll collaborate with sales and marketing to drive **awareness and demand generation** through campaigns and thought leadership.

You'll work on short to medium term customer engagements solving big data challenges using the **Databricks platform**. You'll design and build reference architectures, productionalize use cases, and guide strategic customers through **transformational big data projects**. This role offers the chance to impact diverse clients while collaborating with Databricks' engineering and support teams.

You'll join Databricks' Professional Services team to deliver **data engineering and AI solutions** for financial services clients. You will guide strategic customers through **transformational big data projects** and provide **hands-on technical consulting**. This role offers exposure to cutting-edge cloud and big data technologies at a leading AI company.

You'll work with clients on short to medium term engagements **using the Databricks platform** to solve big data challenges. You'll provide **data engineering, data science, and cloud technology projects** to help customers get the most value out of their data. This role is billable and requires excellent customer service.

You'll join Databricks' Professional Services team to deliver **big data solutions** for clients in healthcare and life sciences. Your work will include **designing and building reference architectures** and **productionalizing customer use cases** on the Databricks platform. This role offers variety across short to medium-term engagements with cutting-edge technology.

You'll work on short to medium term customer engagements using the Databricks platform, providing data engineering, data science, and cloud technology projects. Your core impact is helping customers get the most value out of their data through **designing and building reference architectures** and **productionalizing customer use cases**. This role is billable and requires excellent customer service.