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Tier-1 brand and metro location increase competition, but senior specialized Principal role moderates applicant density.
Strong Microsoft Fabric and Azure requirements create high domain specificity, limiting cross-industry transferability.
Explicit 12-year minimum and required Microsoft Fabric/Azure expertise enforce strict screening.
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Architect and implement end-to-end Lakehouse and analytics solutions using Microsoft Fabric components including OneLake, Delta tables, Data Factory, Synapse, and Power BI Fabric integration.
Lead engineering teams through architecture reviews, delivery quality assurance, and drive customer workshops and solution design sessions focused on modernization strategies.
Leverage Azure cloud services to build scalable ingestion, transformation pipelines, and enforce security and governance within enterprise data ecosystems.
Total Work Experience: 12 years; Relevant Experience: 7 years in Microsoft Azure Data ecosystems and Microsoft Fabric.
Expertise in Microsoft Fabric Lakehouses, Warehouses, DirectLake mode, and Power BI integration.
Strong technical skills including SQL, T-SQL, Spark notebooks, Delta Parquet storage, Azure Synapse, Data Factory, and Power BI.
Location: Bangalore, Karnataka, India; Employment Type: Full-time, Hybrid work model.
Senior data engineering leader experienced in architecting and delivering large-scale enterprise data modernization programs using Microsoft Fabric and Azure.
Experienced in end-to-end cloud data architecture with hands-on skills in Azure services and multi-cloud knowledge (AWS/GCP is a plus).
Effective at collaborating with technical teams and customers through workshops and solution design to drive adoption of modern data analytics workflows.