QA Lead(BI Quality Assurance & Data Quality)
8 days ago
East Brunswick
Job DescriptionSalary: About Us: Atlas Systems Inc. is a Software Solutions company headquartered in East Brunswick, NJ. Incorporated in 2003, Atlas provides comprehensive range of solutions in the area of GRC, Technology, Procurement, Healthcare Provider and Oracle to customers across the globe. Combining our unparalleled experience of over a decade in the software industry and global reach, we have grown with extensive capabilities across industry verticals. For more information, please visit our website Please click on the link below to apply for this position: Job Title BI Quality Assurance & Data Quality (Microsoft Fabric & Power BI) Role Summary We are seeking a senior BI Quality Assurance leader to establish and own an enterprise BI QA and Data Quality function within a Microsoft Fabriccentric analytics environment. This role is responsible for creating independent, auditable BI quality practices in an ecosystem where BI developers historically self-test reports. The ideal candidate will define strategy, build automation (including Playwright for BI UI validation), and mentor senior BI QA professionals while partnering closely with BI, Data Engineering, and business stakeholders. Key Responsibilities BI QA Strategy & Ownership • Define and lead the end-to-end BI QA and Data Quality framework across ingestion, transformation, semantic models, and reporting layers., • Establish independent BI QA governance, separating developer testing from QA assurance and production sign-off., • Design and enforce data quality standards (accuracy, completeness, consistency, timeliness, reconciliation)., • Own QA of Power BI semantic models, including DAX measures, KPIs, hierarchies, and time-intelligence logic., • Define and implement BI QA automation strategy combining:, • SQL / Fabric-native data validations (OneLake, Lakehouse, Fabric SQL)., • Semantic-layer and metric-level validations., • Playwright-based UI automation for Power BI reports (filters, slicers, drill-through, exports, rendering, and visual regression)., • Leverage Microsoft Fabric capabilities (OneLake, Dataflows, Notebooks, Lakehouse, Semantic models) to enable shift-left quality and automation., • Lead and mentor senior BI QA engineers; establish skill standards across SQL, DAX, Fabric, and automation tooling., • Act as the final quality authority for executive and business-critical dashboards., • 10+ years in BI, analytics, or data quality roles, with 4+ years in leadership or enterprise ownership positions., • Proven experience building or leading BI QA / Data Quality functions beyond traditional ETL testing., • Strong expertise in the Microsoft analytics ecosystem, including:, • Power BI (reports, datasets, service), • Semantic models and DAX, • SQL Server / Azure SQL / Fabric SQL, • Hands-on experience designing or implementing automation for BI, including Playwright or similar UI automation frameworks., • Advanced SQL skills and working knowledge of Python or equivalent scripting languages., • Experience with Microsoft Fabric (OneLake, Lakehouse, Dataflows, Notebooks, Synapse/Fabric SQL)., • Background in financial services, asset management, or regulated data environments., • Familiarity with metric governance, data lineage, and BI certification frameworks., • Mission-critical BI metrics are trusted, certified, and independently validated., • BI QA is embedded into delivery pipelines without becoming a bottleneck., • Automated tests cover high-risk dashboards and semantic models., • Data incidents impacting executive reporting are materially reduced., • BI QA engineers are technically strong, well-mentored, and aligned to a clear quality vision.