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Tier-1 brand and metro location increase competition, but niche Microsoft Fabric expertise narrows applicant pool.
Deep Microsoft Fabric/Azure data-architecture and consulting experience limits cross-industry transferability.
Extensive mandatory Azure/Fabric architecture, migration, and governance skills enforce strict technical shortlisting.
Define and lead enterprise data platform architecture and roadmaps using Microsoft Fabric and Azure services, ensuring scalability and maintainability.
Oversee architecture reviews, technical risk assessments, and production-readiness for multiple teams delivering data modernization and migration projects.
Lead migration strategies from legacy and on-premises data platforms to Azure Synapse, Azure Data Factory, Databricks, Power BI, ensuring performance and cost optimization.
Extensive experience architecting enterprise cloud data and analytics platforms with deep expertise in Microsoft Azure data services and Microsoft Fabric architecture.
Strong knowledge of OneLake, Lakehouse, Warehouse, Data Factory, Spark, Delta Lake, Power BI, and real-time processing.
Experience leading large migration or modernization programmes involving Azure Synapse, Azure Data Factory, and related technologies.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in enterprise data architecture including data mesh, data products, dimensional modeling, metadata management, and security controls like Microsoft Entra ID and RBAC.
Demonstrates strong leadership in technical governance, stakeholder communication, estimation, and mentoring senior engineers and architects.
Familiarity with CI/CD, Infrastructure as Code, operational support models, capacity planning, and cost management in complex cloud environments.