Power BI Developer

Saxon GlobalDallas, TX

About The Position

We are seeking a skilled Power BI Developer to join our team. In this role, you will be responsible for designing, developing, and optimizing Power BI solutions within the Microsoft Fabric ecosystem. You will architect scalable data models, ensure performance and security, and lead junior developers. Your work will involve translating business requirements into intuitive visualizations and collaborating with various stakeholders to deliver actionable insights.

Requirements

  • 5+ years of experience in Power BI development
  • At least 1–2 years in Microsoft Fabric ecosystem
  • Proven expertise in DirectLake, Lakehouse, and OneLake architecture
  • Strong understanding of Premium capacity management, including workload optimization and governance
  • Proficiency in DAX, Power Query (M), and Dataflows Gen2
  • Experience with deployment pipelines, workspace governance, and row-level security
  • Excellent communication, leadership, and stakeholder management skills

Nice To Haves

  • Familiarity with Azure Data Services, Databricks, or Synapse is a plus.
  • Microsoft Certified: Fabric Analytics Engineer Associate or Power BI Data Analyst Associate.
  • Experience in enterprise data platform modernization or migration to Fabric.
  • Background in data strategy, report rationalization, or metadata-driven development.

Responsibilities

  • Build robust Power BI datasets, reports, and dashboards using DirectLake and Lakehouse architecture within Microsoft Fabric.
  • Implement scalable data models and semantic layers aligned with business needs and governed data practices.
  • Monitor and tune Premium capacity usage, DirectLake query performance, and refresh schedules.
  • Apply row-level security, workspace governance, and deployment pipelines to ensure compliance and reliability.
  • Guide junior developers, enforce best practices, and collaborate with data engineers, analysts, and business stakeholders.
  • Leverage Fabric's OneLake, Dataflows Gen2, and pipeline orchestration to streamline data ingestion and transformation.
  • Translate complex requirements into intuitive visualizations and communicate insights effectively to technical and non-technical audiences.
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