Key responsibilities
- Define enterprise data-platform architecture and roadmap using Microsoft Fabric and Azure services.
- Assess business objectives, current-state architecture, data landscape, non-functional requirements, regulatory constraints, and migration priorities.
- Select appropriate architectural patterns across Fabric Lakehouse, Warehouse, Data Factory, Data Engineering, Power BI, Real-Time Intelligence, Data Science, and Azure services.
- Define domain-oriented data architecture, medallion layers, data products, semantic models, and enterprise integration patterns.
- Establish architecture principles, engineering standards, security controls, governance frameworks, and reusable reference architectures.
- Lead platform sizing, Fabric capacity planning, workload management, performance strategy, resilience planning, and cost optimization.
- Define identity, access, networking, encryption, privacy, retention, audit, disaster-recovery, and business-continuity requirements.
- Create migration strategies and roadmaps for legacy warehouses, Azure Synapse, Azure Data Factory,



Databricks, Power BI, and on-premises platforms.
- Lead architecture reviews, design authorities, technical risk assessments, and production-readiness reviews.
- Provide oversight across multiple delivery teams and ensure adherence to architectural standards.
- Lead technical proposals, estimations, solution presentations, proofs of concept, and client workshops.
- Engage with senior business, data, security, infrastructure, and programme stakeholders.
- Mentor senior engineers and architects and develop organizational Fabric capability.
- Remain accountable for technical outcomes, platform quality, scalability, and long-term maintainability.

Mandatory technical skills
- Extensive experience architecting enterprise cloud data and analytics platforms.
- Deep expertise in Microsoft Azure data services and Microsoft Fabric architecture.
- Solid knowledge of OneLake, Lakehouse, Warehouse,

📌 Manager | Microsoft Azure | Kolkata | Engineering | Data Modernization
🏢 Deloitte
📍 Kolkata