Azure Data Engineer, Databricks & Fabric Lakehouse
Overview
Own end-to-end Azure data engineering at scale in a Lakehouse environment. You will design, implement, and automate data pipelines using Databricks, Delta Lake, and dbt within a Fabric-driven architecture. Collaborate with data engineers, data scientists, and product teams to deliver reliable data products and governance. This role emphasizes hands-on development, production-grade pipelines, and security networking considerations. What makes this role unique is the deep integration of Fabric data fabric with Unity Catalog, OneLake, and private endpoints to support fast, compliant analytics.
What You'll Do5
- 1Build and maintain production-grade data pipelines using Delta Lake and PySpark to ingest and transform data for analytics and reporting
- 2Design and implement lakehouse architectures with Unity Catalog governance, Databricks assets, and CI/CD with Databricks Asset Bundles
- 3Lead data modeling efforts including medallion patterns (Bronze-Silver-Gold) and dimensional modeling to support BI and analytics
- 4Collaborate on Fabric-based integrations (OneLake, Data Pipelines/Dataflows) and ensure secure networking using managed private endpoints and VNet gateways
- 5Develop and optimize SQL and Python code for reliability, monitoring, and performance tuning across large datasets
Requirements3
- 1Azure Databricks expertise hands-on with Unity Catalog governance, Delta Lake, PySpark, Lakeflow/DLT pipelines, and Databricks Asset Bundles for CI/CD
- 2Fabric experience lakehouse architecture, OneLake, Data Pipelines/Dataflows, and familiarity with Fabric networking (managed private endpoints, VNet gateways)
- 3Strong SQL and Python production-grade pipeline development, dbt experience preferred, with dimensional modeling skills (medallion Bronze-Silver-Gold)
Salary Insight
Salary not disclosed in listing
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