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Atlas Systems • Bengaluru, Karnataka, India
Role & seniority: Senior/lead BI Quality Assurance (QA) leader; owns enterprise BI QA and Data Quality in a Microsoft Fabric–centric analytics environment
Stack/tools: Microsoft Fabric (OneLake, Lakehouse, Dataflows, Notebooks, Synapse/Fabric SQL), Power BI (reports, datasets, service, semantic models, DAX), SQL Server/Azure SQL, Playwright for UI automation, CI/CD integration, Python or similar scripting
Define, own, and govern end-to-end BI QA and Data Quality framework across ingestion, transformation, semantic models, and reporting
Establish independent QA governance, release gating, certification, and production readiness for mission-critical BI assets
Design/mandate data quality standards, semantic validation, automation strategy, and lead/mentor senior BI QA engineers; partner with BI, Data Engineering, and stakeholders
10+ years in BI/analytics/data quality; 4+ years in leadership/enterprise ownership
Deep Microsoft analytics experience: Power BI, DAX, semantic models, SQL (SQL Server/Azure/Fabric SQL)
Hands-on automation for BI (Playwright or similar), advanced SQL, Python or scripting, and ability to influence stakeholders
Experience with Microsoft Fabric components (OneLake, Lakehouse, Dataflows, Notebooks)
Background in financial services or regulated data environments
Familiarity with data lineage, metric governance, BI certification, visual regression testing,
For more information, please visit our website
https: //www.atlassystems.com/
https: //atlas.bamboohr.com/careers/513
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 Fabric–centric 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. Own release gating, certification, and production readiness for mission-critical BI assets. Data Quality & Semantic Validation 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. Ensure metric consistency across dashboards, business units, and reporting periods. Automation & Tooling
Location Bengaluru, Karnataka Department Engineering Employment Type India - Salaried Minimum Experience Experienced