Microsoft Fabric SME
avanade
Job Description
- Design and build components of Microsoft Fabric solutions: OneLake, Lakehouse/Warehouse, Data Factory (Fabric) pipelines/dataflows, Real-Time Intelligence, and Power BI-based semantic and reporting layers.
- Implement data ingestion, transformation, and modeling patterns for modern data estate builds — data lake, data warehouse, and lakehouse architectures.
- Act as the technical specialist/go-to resource on Microsoft Fabric within project teams, resolving complex implementation issues and edge cases.
- Execute data migration workstreams — moving data and workloads from legacy platforms (on-prem warehouses, Synapse, Databricks, Snowflake, or other cloud data platforms) to Fabric.
- Support the Fabric Architect/Lead in solution design, technical estimation, and implementation planning.
- Write and review production-quality pipeline code and configurations; ensure adherence to engineering best practices, testing, and CI/CD standards.
- Apply data governance and security practices during build — Purview integration, Fabric workspace governance, and data lineage.
- Support post-go-live stabilization and production issue troubleshooting for deployed data solutions.
- Guide junior data engineers on Microsoft Fabric implementation patterns and best practices, without formal team-lead accountability.
- Contribute to reusable pipeline assets, accelerators, and technical documentation for the Data Engineering job family.
- Stay current with the Fabric roadmap and broader Microsoft data platform ecosystem, evaluating new capabilities for project use.