Tech Lead

Job SummaryExperience

• 8 years of hands-on experience in Sr. Data Engineering, BI Development, Data Warehousing, and Analytics solutions.
• Strong implementation experience with Microsoft Fabric, including OneLake, Lakehouse, Data Warehouse, Data Factory, Notebooks, Data Pipelines, Semantic Models, and Power BI.
• Experience developing and maintaining end-to-end data ingestion, transformation, and reporting solutions within Microsoft Fabric.

Technical Skills

• Strong proficiency in SQL, Python/PySpark, data transformation, data modeling, and ETL/ELT development.
• Hands-on experience building and optimizing Fabric Data Pipelines, Notebooks, and Lakehouse to Warehouse data flows.
• Experience implementing Medallion Architecture (Bronze/Silver/Gold) and working with Delta Lake tables.
• Strong expertise in Power BI report development, semantic model creation, DAX, report optimization, and dashboard design.
• Experience designing dimensional models (Star/Snowflake schemas) and implementing business-friendly reporting solutions.
• Ability to troubleshoot and optimize Fabric workloads, data refreshes, query performance, and capacity utilization issues.

Migration & Modernization

• Hands-on experience executing BI and analytics migrations from platforms such as Domo, Tableau, Qlik, Cognos, Business Objects, or similar tools to Power BI and Microsoft Fabric.
• Experience converting and modernizing legacy reports, dashboards, datasets, and data pipelines into Fabric native solutions.

Governance & Platform Integration

• Working knowledge of data governance, security, lineage, access controls, and metadata management within Fabric.
• Experience integrating Fabric with Microsoft Purview or similar data governance platforms is preferred.
• Experience working with Azure services including ADLS Gen2, Azure Data Factory, Synapse Analytics, Azure DevOps, and Entra ID.

Collaboration & Delivery

• Experience working in Agile teams and collaborating with business users, analysts, architects, and data platform teams.
• Ability to gather reporting requirements, translate them into technical solutions, and deliver production-ready analytics assets.

Preferred Qualifications

• Microsoft Fabric Analytics Engineer Associate (DP 600) certification preferred.
• Azure Data Engineer Associate (DP 203) certification preferred.
• Experience in Banking, Financial Services, and Insurance (BFSI) environments is a plus.
• Experience supporting large-scale Domo to Power BI/Fabric modernization programs is highly desirable.

Locations

Skill Set: Microsoft PowerBI

• Total Experience: 10.00 to 12.00 Years

No of Openings: 1

Job Post Date: 13/08/2026

Job Expiry Date: 31/08/2026

Domain: IT

Location: HAMPTON [United States]

Job Reference No: 4101548