Senior Data Tech Lead - Databricks

📋 Description

• Provide technical leadership to Data Engineering squads, supporting design, reviews, and
• Co-define with the Data Architect the technical vision, coding standards, modeling conventions, and
• Design and oversee pipelines in Databricks (PySpark/Spark SQL) across Bronze/Silver/Gold layers
• Implement and reinforce DataOps practices: version control (Git), CI/CD, testing
• Optimize jobs/pipelines: partitioning, Spark tuning, cost management, and reliability (baseline
• Ensure non-functional requirements: security, access control, and data policies in Azure/Databricks

🎯 Requirements

• Strong experience in Data Engineering projects, with experience as a Tech Lead/Senior leading teams
• Strong hands-on experience in Databricks: PySpark and Spark SQL; batch pipelines (and working
• Mastery of Delta Lake and practical application of the Medallion architecture (Bronze/Silver/Gold).
• Solid experience with Azure for data, including at least: Azure Databricks, Azure Data Lake Storage
• Strong SQL and Python skills; fundamentals in modeling (dimensional/consumption) and good practices
• Experience with DataOps: Git, CI/CD for data pipelines, automated testing, and clear documentation.

🎁 Benefits

• Health and dental insurance
• Meal and food allowance
• Childcare assistance
• Extended paternity leave
• Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass
• Profit Sharing and Results Participation (PLR)