Role -Azure Data Architect/Team Lead
with MS Fabric

Required Technical Skill Set-
Azure Data Platform (ADF, ADLS, Synapse, Microsoft Fabric, Databricks), SQL, Data Warehousing

Desired Experience Range**-
12-15years (3+ Years Azure Data platform)

Location of Requirement -
Pan India

Desired Competencies (Technical/Behavioral Competency)

Must-Have**
- 12+ years of total experience and at least 3+ years of expertise in Cloud data warehouse / lakehouse technologies on Azure data platform covering – Microsoft Fabric, ADF, ADLS, Synapse, databricks etc.
- At least one End-to-end
MS Fabric data platform
implementation is a must covering all aspects including architecture, design, data engineering, data visualization and data governance (specifically data quality and lineage).
- Significant experience with data migrations and development of Operational Data Stores, Enterprise Data Warehouses, Data Lake and Data Marts.
- Good hands-on knowledge on SQL and Data Warehousing life cycle is an absolute requirement.




- Significant experience with data migrations and development, design, Operational Data Stores, Enterprise Data Warehouses and Data Marts.
- Experience with cloud ETL and ELT in one of the tools like DBT/ADF or any other ELT tool and exposure to Bigdata ecosystem (Hadoop).
- Expertise with at least one of the Traditional data warehouses solutions on Oracle, Teradata, and Microsoft SQL server.
- Excellent communication skills to liaise with Business & IT stakeholders.
- Expertise in planning execution of a project and efforts estimation.
- Understanding of Data Vault, data mesh and data fabric architecture patterns.
- Exposure to working in Agile ways of working.
- Expertise in MS Fabric OneLake, Data Factory, Lakehouse, Warehouse and Notebook
- Data migration
- Data modeling
- Data governance
- Communication

Valuable-to-Have
- Python
- PySpark
- DevOps
- BFSI domain - Banking and Financial Services business domains

📌 Azure Data Architect/Team Lead with MS Fabric (Chennai)
🏢 Tata Consultancy Services
📍 Chennai