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.
Numbers & Facts
Location
Boise, ID
Industry
Other/Not Classified
Company Size
100 to 499 employees
Skills
Access Controlunmatched
Auditingunmatched
Best Practicesunmatched
Capacity Managementunmatched
Customer/Client Researchunmatched
Data Analysisunmatched
Data Modelingunmatched
Data Qualityunmatched
Data Setsunmatched
Knowledge Transferunmatched
Operational Auditunmatched
Power BIunmatched
Production Controlunmatched
Production Systemsunmatched
Refactoringunmatched
Release Management/Engineeringunmatched
Support Documentationunmatched
Training Data Setsunmatched
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