Principal Data Engineer - Microsoft Fabric

Job Description :

We are seeking an experienced Lead Microsoft Fabric Data Engineer to drive our initiative to modernize our legacy BI platform onto Microsoft Fabric. This is a hands-on technical leadership role : you will architect the core Fabric solution yourself, set practical engineering standards, and guide a small team through a phased approach.

Key Responsibilities :

• Own the end-to-end technical design of the Fabric Lakehouse/Warehouse solution.

• Set pragmatic engineering standards and coding conventions for the Fabric platform.

• Mentor 2-4 mid-level data engineers day to day on Fabric and Spark/SQL best practices.

• Design the Lakehouse/Data Warehouse architecture in Fabric, including medallion layout.

• Assess our current BI/DW stack and produce a practical, phased migration plan.

• Build and review data pipelines using Fabric Data Factory, Dataflows Gen2, and Notebooks.

• Implement workspace security, item-level permissions, and row-level security.

• Set up Git integration and CI/CD for Fabric deployments.

Tech Stack :

• Microsoft Fabric (Lakehouse, Warehouse, Data Factory, Dataflows Gen2, Notebooks).

• Azure Data Services (Synapse Analytics, ADF, ADLS, Databricks).

• PySpark, Spark SQL, Python, T-SQL.

• Azure DevOps or GitHub Actions.

What we're looking for :

• 8+ years in data engineering overall, with 2+ years in a leadership/architect capacity.

• 1.5+ years of genuine hands-on Fabric experience.

• Strong dimensional modeling skills.

• Experience leading legacy-to-cloud data platform migrations.

• Microsoft Certified : Fabric Analytics Engineer Associate (DP-600) or Data Engineer Associate (DP-700) is a plus.