Job Description: Senior Power BI/Fabric Platform Engineer is responsible for transitioning existing Power BI semantic models, reports, and dataflows into the new Dev/Prod operating model. They will establish the technical foundation required for reliable Dev/Prod separation, controlled deployments, and scalable analytics operations. The role ensures that analytics assets are production-ready, governed, and aligned to best practices.
Key Responsibilities
Assess existing Power BI reports, datasets, and dataflows
Refactor or adjust models to align with Dev/Prod standards
Transition semantic models and reports into the Production environment
Validate data accuracy and performance post-migration
Ensure models are optimized for shared capacity usage
Document dependencies, assumptions, and promotion criteria
Partner with platform engineers to enable smooth deployments
Required Experience
7+ years of Power BI or analytics engineering experience
Strong experience with Power BI semantic modeling and datasets
Deep understanding of report and model dependencies
Experience supporting enterprise-scale Power BI deployments
Familiarity with governance and release management practices
Platform Setup and Governance Requirements:
Implement increased Power BI (Fabric) capacity
Establish and document Dev and Prod environment separation
Configure workspace strategies aligned to environment boundaries
Enable controlled promotion of assets from Dev to Prod
Implement governance controls for access, approvals, and auditing
Align with Client Data & Analytics operating model
Ensure minimal disruption to existing business reporting
Asset Transition and Delivery Requirements
Inventory and assess existing Power BI assets
Define migration waves and transition strategy
Transition priority semantic models and reports into Production
Validate performance, data quality, and user access post-migration
Ensure Production assets are stable, documented, and supported
Enable Power BI developers to work safely in Dev without impacting Prod
Knowledge Transfer and Sustainability
Clear documentation for Dev/Prod operating procedures
Reusable patterns for future Power BI development
Knowledge transfer sessions for internal teams
Recommendations for ongoing capacity management and optimization.