We have an immediate opportunity to hire MS Fabric Lead , who is ready to join end of this week .

Note :- Kerala /TN /Karnataka

Experience: 7+years
Relevant -2+years
Skills: Microsoft Fabric, One Lake, Lakehouse and Fabric Data Warehouse, ADLS, Azure SQL, Synapse, ADF, Spark, PySpark, Python, Power BI, CICD

Job description is attached for reference , please reach out for any queries. Expecting profiles by EOD.

Role MS Fabric Lead

Skills Mandatory: Microsoft Fabric, One Lake, Lakehouse and Fabric Data Warehouse, ADLS, Azure SQL, Synapse, ADF, Spark, PySpark, Python, Power BI, CICD

Skills - Primary: Microsoft Fabric, One Lake, Lakehouse and Fabric Data Warehouse, ADLS, Azure SQL, Synapse, ADF, Spark, PySpark, Python, PowerBI

Skills - Good to have: Databricks, Snowflake

Qualification: Bachelor's Degree

Total Experience: 7+

Relevant Experience: 2+

Work Location: Cochin/TVM/Remote

Expected Date of Onboarding: 18-Sep-26

Job Purpose (both Onsite / Offshore)

Lead the design, development and delivery of Microsoft Fabric-based data solutions, ensuring high-quality, scalable and performant data engineering and analytics implementations. The role will provide hands-on technical leadership to the delivery team, establish engineering best practices, and work with architects and stakeholders to translate requirements into effective Fabric solutions.

Job Description / Duties and Responsibilities

The Microsoft Fabric Lead will lead technical implementation across Microsoft Fabric and Azure, covering data ingestion, transformation, Lakehouse, Warehouse, data pipelines,



Spark-based processing and Power BI. The role will guide developers, perform technical reviews, troubleshoot complex issues and ensure solutions meet defined architecture, security, performance and quality standards.

The role will collaborate with the Fabric Architect, project managers, business stakeholders and engineering teams to deliver end-to-end data and analytics solutions.

DUTIES & RESPONSIBILITIES

Lead development and implementation of Microsoft Fabric solutions using One Lake, Lakehouse, Fabric Warehouse and Data Factory/Pipelines.
Design and develop scalable ETL/ELT data pipelines and data transformation processes.
Develop and optimize SQL, PySpark/Python and Spark workloads.
Implement Medallion architecture and appropriate data modelling patterns.
Lead development of Power BI semantic models, datasets and reports, including Direct Lake/Import/Direct Query where applicable.
Perform code reviews, technical reviews and ensure adherence to development standards.
Troubleshoot performance, data quality and integration issues and provide technical solutions.
Implement data security, governance, quality and monitoring practices defined by the architecture.




Support data-platform migration and modernization initiatives.
Work closely with the Fabric Architect to translate solution architecture into implementation designs.
Mentor developers and provide technical guidance to the delivery team.
Participate in POCs, technical estimations, design discussions and client/stakeholder meetings.
Ensure timely delivery of technically robust and production-ready solutions.
Adherence to company policies, procedures, and relevant regulations in all duties.

Job Specification / Skills and Competencies

Solid hands-on experience with Microsoft Fabric.
Fabric Lakehouse, One Lake and Fabric Warehouse.
Fabric Data Factory / Data Pipelines.
Strong SQL skills.
Hands-on PySpark / Spark / Python experience.
Strong understanding of ETL/ELT and data engineering.
Power BI development and semantic modelling.
Experience with Direct Lake, Import and/or Direct Query.
Azure data services, preferably ADLS, Azure SQL, Synapse and Azure Data Factory.
Data modelling, data quality and data integration.
Experience working in Agile/Dev Ops delivery environments.

Core Competencies

Microsoft Fabric Data Engineering
Lakehouse and Medallion Architecture
SQL development and performance optimization
Power BI semantic models and enterprise reporting
Data migration and modernization
CI/CD and deployment practices
Technical troubleshooting and performance tuning
Technical leadership, mentoring and code reviews
Ability to work with architects and translate designs into implementation

📌 MS Fabric Lead (India)
🏢 Sparix Global
📍 India