Lead/Architect (Ms Fabric) : Bangalore ITPL: Hybrid
gyansys inc.- Posted 11 days ago
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Job Description
Please share your resume to [Confidential Information] / Call: 8867163603 for more details.
Work Location: Bangalore, ITPL, Whitefield (Hybrid 3 days/week)
Bangalore Office: GyanSys Infotech, Prestige Shantiniketan (PSN) Tech Park, ITPL Road, Whitefield, Bangalore - 560048
Job Title: MS Fabric Architect
Notice Period: Immediate to max. 15 days Only
Experience: 8 – 15 Yrs
Positions: 3
Job Description:
- 9+ years of experience in Microsoft Data & Analytics, with strong expertise in Microsoft Fabric architecture, Power BI, Azure Data Services, and enterprise data platforms.
- Design and implement Microsoft Fabric Workspace architecture, following best practices for scalability, performance, governance, lifecycle management, and enterprise standards.
- Define and implement data governance, security, authentication, authorization, RBAC, workspace access, and data protection across Fabric and Power BI environments.
- Architect and configure CI/CD deployment pipelines using Fabric/Power BI Deployment Pipelines, Azure DevOps, Git integration, and automated release processes.
- Design and develop Fabric Lakehouse, Warehouse, Data Factory, Dataflows, and other Fabric workloads, ensuring robust data integration and transformation architectures.
- Build and optimize enterprise-grade Power BI Semantic Models, including star schemas, relationships, DAX, calculation groups, RLS/OLS, incremental refresh, and performance optimization.
- Lead the design and development of complex Power BI reports and dashboards, ensuring usability, performance, visualization standards, and self-service analytics capabilities.
- Provide technical leadership, architecture guidance, documentation, and mentoring to development teams while driving Fabric adoption, best practices, troubleshooting, and continuous platform improvements.
More Info
Key Skills
Fabric Lakehouse
Dataflows
OLS
Microsoft Fabric architecture
Microsoft Data Analytics
enterprise data platforms
automated release processes
complex Power BI reports
workspace access
Git integration
enterprise-grade Power BI Semantic Models
CI CD deployment pipelines
Azure Data Services
incremental refresh
