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.