Staff Engineer Power BI Developer

What Youll Do As a Consulting Power BI Developer you will:

• Design develop and deploy enterprise Power BI reports dashboards and semantic models (datasets) that meet client business requirements and performance standards.
• Build and optimize data models using SQL DAX and Power Query (M) applying best practices for star schema design calculated measures and row-level security (RLS).
• Collaborate with data architects and engineers to connect Power BI to data sources including On-prem SQL Azure Synapse Analytics Microsoft Fabric Lakehouses Azure SQL and Databricks.
• Develop and maintain Microsoft Fabric workspaces including Lakehouses Data Pipelines and Dataflows Gen2 as part of end-to-end analytics solutions.
• Translate complex business requirements into clear actionable data visualizations and self-service BI capabilities for client stakeholders.
• Implement deployment pipelines version control practices and workspace governance standards to ensure reliable scalable BI solutions.
• Support client enablement and knowledge transfer through documentation training sessions and handoff materials to ensure long-term client self-sufficiency.
• Advise clients on Power BI licensing capacity planning (Premium/Fabric SKUs) and governance best practices aligned to their organizational maturity.
• Contribute to the development of RapidScales Power BI practice standards reusable solution templates and internal knowledge resources.
• Participate in pre-sales activities including solution scoping effort estimation and delivery of client-facing presentations and demonstrations.

Qualifications Minimum Requirements

• Power BI Expertise: Advanced proficiency in Power BI Desktop Power BI Service and the full report development lifecycle.
• Data Modeling: Strong command of DAX for calculated columns measures and time intelligence; solid understanding of star/snowflake schema design.
• Write advanced SQL queries (joins CTEs window functions query optimization) to support analytical workloads.
• Power Query (M): Ability to write and troubleshoot complex data transformation logic using Power Query in both Power BI and Dataflows.
• Cloud Data Connectivity: Experience connecting Power BI to Azure-based data sources such as Azure SQL Database Azure Synapse Analytics or Azure Data Lake Storage.
• Microsoft Fabric Familiarity: Working knowledge of Microsoft Fabric components including Lakehouses Dataflows Gen2 and semantic model integration.
• Client Communication: Demonstrated ability to translate technical findings into clear business narratives for non-technical stakeholders.
• Collaboration: Experience working in cross-functional teams alongside data engineers architects and project managers. Preferred Qualifications
• Experience in a consulting or client-facing services delivery role.
• Microsoft certifications such as PL-300 (Power BI Data Analyst) or DP-600 (Microsoft Fabric Analytics Engineer).
• Familiarity with other Azure data platform services including Azure Data Factory Azure Databricks or Azure Purview.
• Experience with Paginated Reports (SSRS/RDL) for operational reporting requirements.
• Exposure to CI/CD pipelines for BI assets using Azure DevOps or GitHub Actions.
• Knowledge of data governance and data catalog concepts within the Microsoft ecosystem.
• Familiarity with complementary BI tools such as Tableau or Qlik for client migration or comparison engagements.
• Experience using Power BI Reporting with M365 and Co-Pilot inte

Qualifications :

Must have Skills : Power BI (Strong) Microsoft Fabric (Strong) Azure Data Factory

Remote Work :

No

Employment Type :

Full-time