Manager | Microsoft Azure | Kolkata | Engineering | Data Modernization & Migration

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.
• Strong knowledge of OneLake, Lakehouse, Warehouse, Data Factory, Spark, Delta Lake, Power BI, and real-time processing.
• Strong understanding of enterprise data architecture, data mesh, data products, dimensional modeling, and metadata management.
• Expertise in security architecture, Microsoft Entra ID, RBAC, managed identities, private networking, secrets management, and regulatory controls.
• Experience designing CI/CD, Infrastructure as Code, environment strategy, observability, and operational-support models.
• Proven capability in capacity planning, performance engineering, cost management, and workload optimization.
• Experience leading large migration or modernization programmes.
• Strong stakeholder communication, technical governance, estimation, and leadership skills.
• Ability to compare technology options and clearly communicate architectural trade-offs.

Preferred skills

• Experience implementing Microsoft Purview and enterprise data-governance frameworks.
• Knowledge of AI/ML, Azure AI services, Fabric Data Science, and AI-ready data architecture.
• Experience across regulated industries or large global enterprises.
• Microsoft Certified: Fabric Analytics Engineer Associate, Azure Solutions Architect Expert, or comparable certification.
• Pre-sales, consulting, proposal development, or solution-estimation experience.