Microsoft Fabric Architect

Title: Microsoft Fabric Architect Location: Hyderabad/ Chennai/ Bengaluru Exp: 10+ Years Key Responsibilities Platform Architecture & Design Architect end-to-end Microsoft Fabric solutions spanning OneLake, Lakehouses, Warehouses, Data Pipelines, Notebooks, Dataflows Gen2, and Real-Time Intelligence (Eventstream, KQL databases). Define multi-workspace Fabric tenancy models, capacity planning, and domain-level workspace governance aligned to enterprise data mesh principles. Design lakehouse medallion architectures (Bronze / Silver / Gold) on OneLake with appropriate Delta Lake table strategies, partitioning, and Z-ordering. Produce architecture blueprints, HLD/LLD documents, and technology decision frameworks for client engagements. Evaluate and recommend Fabric vs. Azure Synapse vs. Databricks trade-offs based on client maturity, workload type, and TCO. Azure Data Platform Delivery (Foundation Expertise) Lead delivery of Azure Synapse Analytics workspaces dedicated/serverless SQL pools, Spark pools, integration pipelines, and linked services. Architect Azure Data Factory pipelines for complex ingestion patterns: CDC, incremental loads, event-driven triggers, and parameterized templates. Design Azure Data Lake Storage Gen2 zone structures, ACL/RBAC security models, and lifecycle management policies. Implement Azure Databricks solutions for large-scale data transformation, ML feature engineering, and Unity Catalog governance. Integrate Azure Event Hubs, IoT Hub, and Stream Analytics for real-time data ingestion architectures feeding Fabric or Synapse. Semantic Layer & Analytics Build and govern Power BI semantic models (tabular models, DirectLake mode) for enterprise-grade, governed self-service analytics. Define DAX calculation standards, row-level security patterns, and deployment pipeline (CI/CD) strategies for Power BI assets. Design Fabric SQL Analytics Endpoints and Warehouse schemas for analytical query workloads. Architect OneLake shortcuts and mirroring strategies to unify data from Azure SQL, Cosmos DB, and external sources without data movement. Data Governance & Security Implement Microsoft Purview for data cataloguing, lineage tracking, sensitivity labeling, and policy enforcement across Fabric and Azure assets. Define Fabric workspace roles, item-level permissions, and tenant-level admin policies for enterprise data security. Design data masking, encryption-at-rest/in-transit, and private endpoint strategies aligned to regulatory requirements (DPDP, ISO 27001, SOC 2). Establish data quality frameworks using Fabric notebooks, DQX, or Great Expectations integrated into pipeline workflows. AI-Ready Data Platform Design OneLake-based feature stores and vector-ready data layers that serve Azure OpenAI, Azure AI Search, and Azure ML workloads. Architect GraphRAG and RAG pipelines using Fabric as the data backbone feeding Azure AI Foundry agents. Integrate Fabric Copilot and AI Skills capabilities to enable natural language analytics for business users. Expose Fabric data assets as MCP (Model Context Protocol) tool servers for agentic AI consumption. Stakeholder Engagement Lead architecture discovery workshops, current-state assessments, and Fabric readiness evaluations with enterprise clients. Mentor delivery teams of junior and mid-level data engineers on Fabric patterns, Azure best practices, and coding standards. ", Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.