Roles & Responsibilities
Lead the end-to-end design, architecture, and delivery of enterprise-scale Microsoft Fabric solutions.
Architect and implement scalable Lakehouse, Data Warehouse, and One Lake-based data platforms.
Design and develop robust ETL/ELT pipelines using Fabric Data Factory, Dataflows Gen2, Notebooks, and Spark.
Drive data modeling, semantic layer creation, and enterprise reporting solutions using Power BI.
Establish best practices for data governance, security, RBAC, workspace management, and compliance.
Lead technical discussions, solution reviews, estimations, and architecture decisions.
Mentor data engineers and BI developers, conduct code reviews, and ensure engineering excellence.
Optimize platform performance, scalability, reliability, and cost efficiency.
Implement DevOps/DataOps practices including CI/CD, automated deployments, version control, and release management.
Collaborate with Solution Architects, Business Analysts, Project Managers, and business stakeholders to translate business requirements into technical solutions.
Drive Fabric migration initiatives from legacy platforms such as Azure Synapse, SQL Server, Informatica, SSIS, or traditional data warehouses.




Evaluate and adopt recent Microsoft Fabric capabilities, AI features, and industry best practices.

Ideal Candidate
10+ years of experience in Data Engineering, Analytics, Business Intelligence, or Data Platform development.
3+ years of hands-on experience with Microsoft Fabric and up-to-date cloud-based data platforms.
Strong expertise in:
Microsoft Fabric
OneLake & Lakehouse Architecture
Data Factory Pipelines
Dataflows Gen2
Power BI
Fabric Warehouse
Real-Time Analytics/KQL
Spark & Notebooks
Advanced SQL and Python programming skills.
Solid understanding of Medallion Architecture, Dimensional Modeling, and Data Warehousing concepts.
Experience with Azure Data Services such as ADLS, Azure SQL, Synapse, Azure DevOps, and Entra ID.
Proven experience leading technical teams, solution design, and enterprise delivery programs.
Excellent stakeholder management, communication, and mentoring capabilities.
Experience in Agile/Scrum delivery environments.
Exposure to GenAI, Fabric AI capabilities, Copilot, or modern AI-powered analytics solutions is preferred.

📌 Tech Lead Data & Ai Mumbai
🏢 Exponentia.ai
📍 Mumbai