Role : Fabric Architect / Senior Data Engineer.

Location : Bangalore / Chennai / Hyderabad (Hybrid).

Experience : 1014 Years.

Employment Type : Full-Time.

About the Role :

We are looking for an experienced Fabric Architect / Senior Data Engineer with strong expertise in Microsoft Fabric, Azure Data Engineering, and PySpark to build scalable enterprise data platforms and Lakehouse solutions.

The ideal candidate will have hands-on experience designing data pipelines, implementing Lakehouse architectures, establishing data governance frameworks, and delivering modern analytics solutions using Microsoft Fabric.

This role requires a strong Data Engineering background rather than a Data Analyst profile, with the ability to work closely with clients and explain technical solutions effectively.

Key Responsibilities :

- Design and implement enterprise-scale data platforms using Microsoft Fabric.

- Build and maintain scalable ETL/ELT pipelines using PySpark and Fabric Notebooks.

- Develop Lakehouse architectures leveraging OneLake and Delta Lake.

- Create data ingestion frameworks using Data Factory and Dataflows Gen2.

- Implement data governance and lineage using Microsoft Purview.

- Design and optimize Fabric Data Warehouse and SQL Analytics solutions.

- Integrate external data sources using Shortcuts and Mirroring capabilities.

- Develop real-time and streaming solutions using Eventstream and Real-Time Analytics.

- Collaborate with business stakeholders and technical teams to define data strategies.

- Perform performance tuning, cost optimization, and architecture governance.

- Ensure adherence to security, compliance, and enterprise data standards.

Required Skills :

- Strong hands-on experience with Microsoft Fabric.

- Fabric Lakehouse & OneLake.

- Fabric Data Factory & Dataflows Gen2.

- Fabric Data Warehouse.

- SQL Analytics Endpoints.

- PySpark & Spark Notebooks.

- Azure Data Engineering.

- Azure Synapse Analytics.

- Azure Data Factory (ADF).

- Delta Lake.

- ETL / ELT Development.

- Data Modeling.

- Data Transformation & Data Cleaning.

- Microsoft Purview.

- Data Governance & Lineage.

- CI/CD and DevOps Practices.

Preferred Experience :

- Eventstream and Real-Time Analytics.

- Fabric Shortcuts and Mirroring.

- Dataverse Integration.

- Medallion Architecture.

- Enterprise Data Platforms.

- Cost Optimization Initiatives.

- Large-Scale Data Migration Projects.

- Client-Facing Architecture Discussions.

Experience Required :

- 1014 years of overall Data Engineering experience.

- Minimum 12 years of hands-on Microsoft Fabric experience.

- Strong Azure Data Engineering background.

- Delivered at least 2+ Lakehouse implementations.

- Experience with large-scale data pipeline modernization projects.

- Strong expertise in PySpark-based transformations.

Contact Information :

Interested candidates can share their updated resume at uma.jangra@glovetalent.com.