Microsoft Fabric SME

Avanade Inc.; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Avanade India’s Intelligence Data Platforms practice is looking for a Microsoft Fabric SME to be a deep technical specialist on modern data estate, data lake, data warehouse, and data migration projects built on Microsoft Fabric.

This is a hands‑on, individual‑contributor role for someone who wants to own the technical build — designing and implementing data pipelines and platform components, solving complex implementation challenges, and providing specialist guidance to the wider delivery team.

Responsibilities

• Design and build components of Microsoft Fabric solutions: OneLake, Lakehouse/Warehouse, Data Factory (Fabric) pipelines/dataflows, Real-Time Intelligence, and Power BI-based semantic and reporting layers.
• Implement data ingestion, transformation, and modeling patterns for modern data estate builds — data lake, data warehouse, and lakehouse architectures.
• Act as the technical specialist/go-to resource on Microsoft Fabric within project teams, resolving complex implementation issues and edge cases.
• Execute data migration workstreams — moving data and workloads from legacy platforms (on-prem warehouses, Synapse, Databricks, Snowflake, or other cloud data platforms) to Fabric.
• Support the Fabric Architect/Lead in solution design, technical estimation, and implementation planning.
• Write and review production-quality pipeline code and configurations; ensure adherence to engineering best practices, testing, and CI/CD standards.
• Apply data governance and security practices during build — Purview integration, Fabric workspace governance, and data lineage.
• Support post-go-live stabilization and production issue troubleshooting for deployed data solutions.
• Guide junior data engineers on Microsoft Fabric implementation patterns and best practices, without formal team‑lead accountability.
• Contribute to reusable pipeline assets, accelerators, and technical documentation for the Data Engineering job family.
• Stay current with the Fabric roadmap and broader Microsoft data platform ecosystem, evaluating new capabilities for project use.

Job description

Avanade is the world’s leading Microsoft expert, helping more than 7,000 organizations modernize securely and scale AI using Microsoft technology, faster. Founded by Microsoft and Accenture, and operating as Microsoft’s Client Zero, Avanade brings deep expertise and proven delivery to simplify complexity, accelerate innovation, and deliver measurable results. Together with Accenture, Avanade combines global scale with expertise in AI, cloud, data, cybersecurity, and ERP to design solutions that put people first. With 60,000 Microsoft professionals worldwide, 165,000 certifications, and the largest community of Microsoft MVPs, Avanade has spent more than 25 years helping organizations unlock the full potential of people and technology to create lasting impact for clients, employees, and communities. Role Summary Avanade India’s Intelligence Data Platforms practice is looking for a Microsoft Fabric SME to be a deep technical specialist on modern data estate, data lake, data warehouse, and data migration projects built on Microsoft Fabric. This is a hands‑on, individual‑contributor role for someone who wants to own the technical build — designing and implementing data pipelines and platform components, solving complex implementation challenges, and providing specialist guidance to the wider delivery team.

• Design and build components of Microsoft Fabric solutions: OneLake, Lakehouse/Warehouse, Data Factory (Fabric) pipelines/dataflows, Real-Time Intelligence, and Power BI-based semantic and reporting layers.
• Implement data ingestion, transformation, and modeling patterns for modern data estate builds — data lake, data warehouse, and lakehouse architectures.
• Act as the technical specialist/go-to resource on Microsoft Fabric within project teams, resolving complex implementation issues and edge cases.
• Execute data migration workstreams — moving data and workloads from legacy platforms (on-prem warehouses, Synapse, Databricks, Snowflake, or other cloud data platforms) to Fabric.
• Support the Fabric Architect/Lead in solution design, technical estimation, and implementation planning.
• Write and review production-quality pipeline code and configurations; ensure adherence to engineering best practices, testing, and CI/CD standards.
• Apply data governance and security practices during build — Purview integration, Fabric workspace governance, and data lineage.
• Support post-go-live stabilization and production issue troubleshooting for deployed data solutions.
• Guide junior data engineers on Microsoft Fabric implementation patterns and best practices, without formal team‑lead accountability.
• Contribute to reusable pipeline assets, accelerators, and technical documentation for the Data Engineering job family.
• Stay current with the Fabric roadmap and broader Microsoft data platform ecosystem, evaluating new capabilities for project use.

Equal Employment Opportunity Statement

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