Power BI Architect
Pay Rate: Not Specified
Job type: contractor
Location: Los Angeles, CA
Required Experience & Skill:
• 8+ years of experience in Power BI development and business intelligence.
• 3+ years of experience in a Power BI architect or similar leadership role.
• Proven track record of delivering scalable, high-performance BI solutions in enterprise environments.
• Expert-level proficiency in Power BI, DAX, Power Query, and M.
• Strong SQL skills for data extraction, transformation, and analysis.
• Deep understanding of semantic modeling and table design for analytics.
• Experience with Snowflake and Azure Data Services (e.g., Azure Data Factory, Synapse).
• Familiarity with Direct Lake and Delta Table integration.
• Hands-on experience with Power BI Embedded and web integration.
• Proficiency in CI/CD tools including Git, Tabular Editor, and TMDL.
• Understanding of Power BI capacity unit (CU) consumption and optimization.
• Knowledge of Power BI governance, security, and tenant administration.
• Familiarity with Power Apps for extending analytics workflows.
• ArcGIS ESRi knowledge
RESPONSIBILITIES:
Power BI Architecture & Solution Design:
• Lead the design and implementation of end-to-end Power BI solutions including reports, dashboards, and semantic models.
• Architect scalable and performant data models tailored to business needs.
• Define and enforce Power BI development standards, governance, and best practices.
• Guide the use of advanced Power BI features such as calculation groups, field parameters, and bookmarks.
Data Integration & Backend Connectivity:
• Integrate Power BI with Snowflake, Azure SQL, and other cloud/on-prem data sources.
• Leverage Direct Lake and Delta Table integration for high-performance data access and real-time analytics.
• Collaborate with data engineering teams to ensure efficient data pipelines and refresh strategies.
Embedded Analytics & Web Integration:
• Design and implement Power BI Embedded solutions for web-based analytics delivery.
• Ensure secure and scalable embedding practices aligned with enterprise architecture.
Performance Optimization & Advanced Analytics:
• Write and optimize complex DAX expressions for performance and maintainability.
• Develop and maintain Power Query (M) scripts for advanced data transformation.
Deployment & Administration:
• Implement CI/CD pipelines using Git, TMDL, and Tabular Editor.
• Manage Power BI tenant settings, workspace governance, and user access controls.