Description
Job Summary
- We are seeking an experienced and highly skilled Data Architect with robust expertise in Microsoft Fabric, Azure Data Platform, Databricks, and Apache Spark to lead the design and implementation of enterprise-scale data modernization initiatives.
- The ideal candidate will have extensive experience architecting cloud-native data platforms, defining data strategies, and delivering scalable, secure, and high-performing data solutions across complex business environments.
- This role requires deep technical knowledge of Microsoft Azure data services, modern data architecture patterns, data governance frameworks, and large-scale analytics platforms. Experience within the Insurance domain is highly desirable.

Responsibilities
Key Responsibilities
Data Architecture & Strategy
- Define and drive enterprise data architecture strategies aligned with business objectives and technology roadmaps.
- Design scalable, secure, and high-performance data platforms leveraging Microsoft Fabric, Azure, and Databricks ecosystems.
- Establish architecture standards, best practices,



reusable design patterns, and governance frameworks for enterprise data solutions.
- Lead cloud data modernization and migration initiatives from legacy platforms to cloud-native architectures.
- Create architecture blueprints, reference architectures, and implementation roadmaps.

Microsoft Fabric Leadership
- Architect and implement end-to-end solutions using:
- Microsoft Fabric Lakehouse
- Fabric Data Warehouse
- Data Pipelines
- Real-Time Analytics
- OneLake
- Power BI Integration
- Design Medallion Architecture (Bronze, Silver, Gold layers) within Microsoft Fabric.
- Drive Fabric deployment strategies, performance optimization, and environment governance.
- Implement Fabric security, access controls, lineage, monitoring, and data lifecycle management.

Azure Data Platform Architecture
- Design and implement enterprise data solutions using:
- Azure Data Factory (ADF)
- Azure Data

📌 Data Architect – Microsoft Fabric (Maharashtra)
🏢 EXL
📍 Maharashtra