Senior BI Engineer – Microsoft Fabric Semantic Model
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Job Description
Senior BI Engineer managing Microsoft Fabric semantic model and creating Power BI reports for Upstart 13. Leading high-quality data modeling and driving business intelligence solutions.
Responsibilities:
- Design and maintain star‑schema semantic models (facts, dimensions, role‑playing dimensions, SCD patterns)
- Define relationships, hierarchies, calculation groups, KPIs, and reusable business logic in DAX
- Select and tune Import, DirectQuery, Direct Lake (and Hybrid tables/Incremental Refresh when needed)
- Optimize with aggregations, partitioning, column sizing, and the Performance Analyzer
- Build models on Lakehouse/Warehouse (incl. SQL analytics endpoint), Dataflows Gen2, and external sources; configure gateways for on‑prem data
- Implement Row‑Level Security (RLS) and Object‑Level Security (OLS); manage Build permissions, endorsements (certified/promoted), and sensitivity labels in partnership with data governance
- Use Power BI Projects (PBIP), Git integration and deployment pipelines for versioning and multi‑environment releases; serialize models with TMDL and use external tools where appropriate
- Monitor and right‑size Fabric capacity using the Capacity Metrics app; collaborate with admins to keep models and refreshes healthy
- Document definitions, lineage, and refresh behaviors; evangelize reuse of the semantic layer across workspaces
Requirements:
- 6+ years of experience building production ETL/ELT pipelines
- Strong Power BI modeling experience with dimensional/ star schema design, and strong DAX and Power Query (M)
- Hands‑on experience with Microsoft Fabric (Lakehouse/Warehouse, SQL analytics endpoint, OneLake concepts)
- Proven use of Direct Lake plus Import/DirectQuery and a clear understanding when/why to use each
- RLS/OLS design and implementation experience
- PBIP + Git and deployment pipelines for CI/CD; TMDL familiarity (preview features acceptable)
- Performance tuning (VertiPaq fundamentals, partitions, aggregations; Performance Analyzer)
- Comfortable with SQL
- Familiarity with TMDL, external tools (e.g., Tabular Editor, DAX Studio)
Benefits:
- 20+ Paid time off days
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