Principal Data Engineer
First seen by Alion on Oct 3, 2026.
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.
Skills
Data Engineering, Microsoft Fabric, Python, PySpark, SQL, Data Warehousing, Delta Lake, Azure Data Factory, Synapse Analytics, T-SQL