Senior Data Bricks

About the role

Lead modernization of Databricks platform and adoption of advanced features. Design and deliver Lakeflow jobs, pipelines, and scalable Lakehouse solutions. Establish engineering best practices, governance, and automation frameworks.

Key responsibilities

• Lead modernization of the Databricks platform and drive adoption of advanced features.
• Design and deliver Lakeflow jobs, pipelines, and scalable Lakehouse solutions.
• Implement and optimize Unity Catalog, DQX, DB Genie, and AI/BI workloads.
• Establish engineering best practices, governance, and automation frameworks.
• Mentor teams and guide technical decision‑making across the organization.

Required profile

• Approximately 6 years of experience in data/platform engineering with deep Databricks expertise.
• Strong hands‑on experience with PySpark, Streaming, DBR, Lakeflow, Unity Catalog, DQX, DB Genie, and Delta Lake.
• Experience with Azure Data Factory (ADF), Synapse and exposure to Azure DevOps.
• Proven leadership in large‑scale Databricks or Lakehouse transformation projects.
• Strong out‑of‑the‑box thinking, problem‑solving, and deliverables leadership.

Required skills

• Databricks
• PySpark
• Streaming
• DBR
• Lakeflow
• Unity Catalog
• DQX
• DB Genie
• Delta Lake
• Azure Data Factory
• Synapse
• Azure DevOps