🛠 Tech Stack

💼 About This Role

You'll design and implement medallion architecture on Databricks for media and advertising clients, building production AI solutions and governing data platforms. You'll shape V2's Databricks practice as a foundational technical resource, delivering measurable client impact.

🎯 What You'll Do

• Design and implement medallion architecture (bronze/silver/gold) using Delta Lake.
• Build and optimize scalable data pipelines using Apache Spark and Lakeflow.
• Implement Unity Catalog for governance and fine-grained access control.
• Develop production AI solutions including RAG pipelines and model serving.
• Serve as hands-on practitioner across multiple Databricks client engagements.

📋 Requirements

• Databricks proficiency: Delta Lake, Unity Catalog, DLT, Databricks SQL, Spark.
• End-to-end engineering: built pipelines, governed data platforms, production Lakehouse architectures.
• AI integration: hands-on with LLMs, RAG pipelines, deploying AI solutions on Databricks.
• Consulting instincts: experience scoping, client communication, and delivery under pressure.

✨ Nice to Have

• Databricks Certifications (Data Engineer Professional, ML Engineer Professional).
• Cloud platform experience (Azure, AWS, or GCP).
• Familiarity with Snowflake, Salesforce Data Cloud, or dbt.

🎁 Benefits & Perks

• 🏖️ Remote-first work environment
• 🚀 Startup agility with consulting rigor
• 📚 Continuous learning on cutting-edge AI/Data platforms
• 🏆 High-impact client work at global media organizations

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview (Databricks & System Design)· 60 min
3. 3Client Simulation or Case Study· 60 min