Tech Stack

Description

You will design, build, and operate critical data infrastructure platforms such as lakehouse, replication, and orchestration to enable scalable data workflows across the organization. You will partner with engineering and analytics teams to drive platform adoption and improve developer productivity through automation and AI tools.

Requirements

• 5+ years in infrastructure, platform engineering, or data engineering
• Experience on highly cohesive engineering teams collaborating in real time
• Strong background in infrastructure architecture in large-scale or enterprise environments
• Hands-on experience with cloud platforms (e.g., AWS), container orchestration (e.g., Kubernetes), and distributed systems
• Experience with data platforms including lakehouse architectures, replication, and orchestration frameworks (e.g., Airflow, Kafka, Trino, Iceberg)

Responsibilities

• Design, build, and operate critical data infrastructure platforms (lakehouse, replication, orchestration, distributed compute)
• Ensure high availability, scalability, and performance of platform services
• Contribute to infrastructure architecture decisions for large-scale data platforms
• Partner with engineering, analytics, and product teams to support platform adoption and migration
• Drive improvements in developer productivity through automation, tooling, and AI/agentic workflows