Manager | Microsoft Azure | Kolkata | Engineering | Data Modernization & Migration
Deloitte Advisory2 days ago
Kolkāta, IndiaStaff+
Responsibilities
- Define enterprise data-platform architecture and roadmaps using Microsoft Fabric and Azure services.
- Assess business objectives, current-state architecture, data landscapes, non-functional requirements, regulatory constraints, and migration priorities.
- Design architecture patterns across Fabric Lakehouse, Warehouse, Data Factory, Data Engineering, Power BI, Real-Time Intelligence, Data Science, and Azure services.
- Define 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 across multiple delivery teams.
- Lead technical proposals, estimations, solution presentations, proofs of concept, and client workshops.
- Engage senior business, data, security, infrastructure, and programme stakeholders.
- Mentor senior engineers and architects and develop organizational Microsoft Fabric capability.
- Remain accountable for technical outcomes, platform quality, scalability, and long-term maintainability.
Requirements
- 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 experience implementing Microsoft Purview and enterprise data-governance frameworks.
- Preferred knowledge of AI/ML, Azure AI services, Fabric Data Science, and AI-ready data architecture.
- Preferred experience across regulated industries or large global enterprises.
- Microsoft Certified: Fabric Analytics Engineer Associate, Azure Solutions Architect Expert, or comparable certification is preferred.
- Preferred pre-sales, consulting, proposal development, or solution-estimation experience.
Tech Stack
Categories
Data Engineering
About Deloitte Advisory
Deloitte Advisory provides consulting and managed services that help organizations manage risk, strengthen controls, investigate fraud, meet regulatory requirements, and execute transactions using analytics and industry expertise. Offerings span cybersecurity, M&A due diligence, finance and regulatory transformation, internal audit, and tech-enabled platforms. It is part of Deloitte’s global network (founded in 1845 and privately held), with U.S. member-firm teams serving corporations and government agencies across sectors.