Role Summary
Owns the end-to-end architecture across Databricks Fabric and Power BI. Ensures the Enterprise Customer workspace model mirroring strategy and semantic layer are scalable secure and aligned with business use cases.
Key Responsibilities
- Design and govern end-to-end data architecture:
- Databricks Unity Catalog Fabric (OneLake) Power BI
- Define and enforce:
- Semantic Layer and use respective Fabric/Databricks technology to support and maintain Enterprise and Customer workspace
- Own data access patterns:
- Mirroring vs Direct Lake vs Import vs DirectQuery
- Establish performance strategy:
- Dataset design aggregation concurrency handling
- Ensure security architecture:
- Unity Catalog Fabric RLS/OLS alignment
- Define CI/CD pipelines (Dev ACC Prod)
- Validate architecture against use cases and scalability
Key Skills
- Microsoft Fabric (OneLake Direct Lake Pipelines)
- Power BI semantic modeling (enterprise scale)
- Azure Databricks & Unity Catalog
- Data architecture patterns (lakehouse medallion)
- Security models (RBAC RLS OLS)
- Performance tuning & large-scale BI systems
Role Summary Owns the end-to-end architecture across Databricks Fabric and Power BI. Ensures the Enterprise Customer workspace model mirroring strategy and semantic layer are scalable secure and aligned with business use cases. Key Responsibilities Design and govern end-to-end data architec...
Role Summary
Owns the end-to-end architecture across Databricks Fabric and Power BI. Ensures the Enterprise Customer workspace model mirroring strategy and semantic layer are scalable secure and aligned with business use cases.
Key Responsibilities
- Design and govern end-to-end data architecture:
- Databricks Unity Catalog Fabric (OneLake) Power BI
- Define and enforce:
- Semantic Layer and use respective Fabric/Databricks technology to support and maintain Enterprise and Customer workspace
- Own data access patterns:
- Mirroring vs Direct Lake vs Import vs DirectQuery
- Establish performance strategy:
- Dataset design aggregation concurrency handling
- Ensure security architecture:
- Unity Catalog Fabric RLS/OLS alignment
- Define CI/CD pipelines (Dev ACC Prod)
- Validate architecture against use cases and scalability
Key Skills
- Microsoft Fabric (OneLake Direct Lake Pipelines)
- Power BI semantic modeling (enterprise scale)
- Azure Databricks & Unity Catalog
- Data architecture patterns (lakehouse medallion)
- Security models (RBAC RLS OLS)
- Performance tuning & large-scale BI systems
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