The Power BI Developer

Job Responsibilities

• Report, Dashboard, and Semantic Model Development
• Design star schema tabular models that consume silver and gold datasets, defining clear facts, dimensions, hierarchies, and relationships that reflect business rules and formal audit needs;
• Develop performant Data Analysis Expressions (DAX) measures, calculation logic, key performance indicators (KPIs), and reusable measure templates to ensure consistent reporting standards across the enterprise;
• Build user-centric, accessible Power BI reports and dashboards, incorporating advanced features like drill-through, bookmarks, tooltips, and parameterized views tailored for both operational and leadership audiences;
• Implement robust Power Query/M transformations during model preparation while strictly respecting upstream cleansing and data lineage standards defined by the Data Warehouse team;
• Support paginated reporting pipelines when required to fulfill regulatory mandates or operational print workflows.

Governance, Security, And Compliance

• Implement Row Level Security (RLS) and Object Level Security (OLS) aligned to CJIS and HIPAA requirements, agency retention rules, and OIT governance decisions, while thoroughly documenting access matrices and test coverage;
• Administer workspace roles and dataset permissions, ensuring full alignment with the M365 Government Community Cloud (GCC) licensing posture for Power BI Pro and Premium;
• Partner with security and data governance teams to register datasets, lineage, and classifications, leveraging Microsoft Purview where applicable for cataloging, policy awareness, and consumer trust;
• Embed strict internal controls for audit logging, data refresh auditing, and change tracking per OIT and program compliance standards.

Performance Engineering And Reliability

• Optimize dataset size, entity relationships, and measure logic by utilizing composite models, aggregations, and Incremental Refresh where appropriate to strictly meet agreed-upon service levels;
• Target, monitor, and continuously improve report render times and dataset refresh performance to adhere to defined service level agreements (SLAs);
• Collaborate with the Data Warehouse team on distributed processing choices that directly impact Direct Query, Direct Lake, and Import modes to ensure optimal capacity utilization and cost-efficient infrastructure management.

Deployment Lifecycle And DevOps

• Use Power BI Deployment Pipelines and Azure DevOps for versioning, environment promotion Development and Production (DEV/PROD), approvals, and rollback strategies;
• Automate refresh schedules, key vault secrets, service principals, and Continuous Integration and Continuous Delivery (CI/CD) checks consistent with OIT change and incident management processes.

Collaboration And Stakeholder Engagement

• Work closely with Data Owners, stewards, analysts, Project Management Office (PMO), and Information Security (InfoSec) to translate business use cases into governed analytics, participating actively in Data Owners and Governance meetings as scheduled;
• Provide coaching and knowledge transfer to Super Users and report developers within the Bureau of Research and Data and other stakeholder groups.

Documentation And Best Practices

• Maintain model documentation, DAX catalogs, data dictionaries, lineage notes, RLS and OLS matrices, refresh schedules, and standard operating procedures (SOPs);
• Publish workspace governance guides, report accessibility standards, and User Acceptance Testing (UAT) scripts consistent with OIT documentation frameworks;
• Contribute to the enterprise data catalog in Microsoft Purview and to SharePoint knowledge bases with versioned artifacts linked directly to Correctional Information Management System (CIMS) datasets and interfaces.