MS Fabric Specialist

Company Description

Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 27,000+ associates, it's the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.

Job Description

Roles & Responsibilities,

• Overall 10 Years of Experience Define and govern an enterprise-scale cloud data platform architecture, with Microsoft Fabric as a core platform, spanning data engineering, integration, warehousing, real-time analytics, business intelligence, AI, security, governance, and operations.
• Translate business strategy into practical architecture, guide delivery teams, and ensure solutions are scalable, reliable, reusable, compliant, and aligned with enterprise standards. ·
• Key Responsibilities Design end-to-end cloud data and Microsoft Fabric architectures aligned with business objectives, enterprise data strategy, and cloud standards.
• Define platform roadmaps, modernization approaches, reference architectures, reusable design patterns, technology standards, and implementation strategy.
• Provide technical leadership and architectural guidance across data engineering, cloud infrastructure, analytics, integration, security, AI, and operations.
• Architect metadata-driven ingestion and transformation frameworks using Fabric Data Factory, notebooks, Spark, SQL, and event-driven services.
• Design and maintain secure, highly available, scalable batch and streaming pipelines for analytics, operational reporting, and data provisioning.
• Design Lakehouse, Data Warehouse, semantic models, distributed processing solutions, and governed data products capable of handling large data volumes.
• Integrate enterprise applications, databases, APIs, files, SaaS platforms, on-premises systems, Microsoft Azure services, and other cloud environments.
• Define enterprise AI and Generative AI architecture using Microsoft Fabric, Azure AI Services, Azure OpenAI, intelligent analytics, RAG, vector databases, and semantic search capabilities.
• Evaluate emerging data and AI technologies, including Agentic AI, Model Context Protocol (MCP), and enterprise automation, and lead proof-of-concept assessments where appropriate.
• Own architecture decisions for security, identity, networking, governance, compliance, lineage, data quality, observability, and operational monitoring.
• Optimize platform performance, reliability, scalability, cost effectiveness, and operational supportability; act as an escalation point for critical platform and data warehouse issues.
• Assess and plan migrations of legacy and on-premises data estates to Microsoft Fabric and Azure, including reconciliation, cutover, and transition considerations.
• Collaborate with business and technical stakeholders to gather requirements and translate them into practical, maintainable data solutions.
• Provide input to sprint planning, delivery processes, technical standards, automated testing, CI/CD, release management, and infrastructure-as-code practices.
• Guide multidisciplinary engineering teams, facilitate architecture workshops, document decisions, promote best practices, and contribute to knowledge sharing and engineering excellence.
• Provide strategic technology guidance to senior management and coordinate with cloud providers, subject-matter experts, operations teams, and external service providers.

Required Experience and Skills

1. 10+ years of experience in data engineering, analytics, data architecture, or cloud data platforms, including leadership of enterprise-scale solutions.
2. Hands-on experience with Microsoft Fabric, including One Lake, Lakehouse, Data Warehouse, Data Factory, Real-Time Intelligence, and Power BI. Strong proficiency in SQL, T-SQL, Python, PySpark, Spark, Delta Lake, data modeling, ETL/ELT, and distributed data processing.
3. Experience with medallion architecture, domain-oriented data products, metadata-driven ingestion, governed semantic layers, and scalable data provisioning.
4. Experience architecting cloud and big-data solutions, including Microsoft Azure; familiarity with virtual networks/VPC concepts and multi-tenant resource management is beneficial. Hands-on experience with RAG

Qualifications

BE

Additional Information

8 - 10 Yrs