TCS-WALKIN DRIVE
Kolkata
Azure Data Architect
The Data Architect / Lead is responsible for defining and governing the end‑to‑end data architecture for large‑scale manufacturing data modernization programs on Microsoft Fabric and Azure Data Services. This role acts as the technical authority and design owner.
Key Responsibilities
- Own the end‑to‑end data architecture across ingestion, storage, processing, governance, and consumption
- Define Fabric‑first reference architectures aligned to Bronze/Silver/Gold (Medallion) patterns
- Define data access patterns for analytics, reporting, and downstream applications
- Define data architecture standards, design patterns, and best practices
- Ensure alignment with Microsoft Purview
- Define data quality, validation, and reconciliation frameworks
- Enforce non‑functional requirements
- Guide implementation teams (Data Engineers, DevOps, Governance SMEs)
- Ensure reuse of standard frameworks and accelerators
Required Skills
- Enterprise data architecture patterns
- Strong data modeling skills (analytical & canonical models)
- Microsoft Fabric
- Azure Data Services
Experience & Qualifications
- 10–15 years of experience in data architecture / data engineering
- 5+ years designing Azure‑based data platforms
- Experience leading large enterprise transformation programs
- Microsoft Fabric / Azure Data Engineer / Azure Solutions Architect certifications preferred
7. Azure Data Factory Engineer
The Azure Data Factory Engineer will design, develop, and maintain cloud‑based data integration pipelines on Microsoft Azure. The role requires hands‑on experience in ADF, Dataflows, Azure Integration Runtimes, and enterprise data ingestion patterns.
Key Responsibilities
- Data Integration & Pipelines
Required Skills
- Strong experience building ADF pipelines and dataflows.
- Experience with ADLS, Synapse, Databricks (basic), SQL.
- Experience integrating REST API, OAuth, service principals.
- Strong understanding of Lakehouse/Medallion architecture.
- Experience debugging pipeline failures and optimizing performance.
Experience & Qualifications
- 3–8 years of experience in data engineering
- Experience in working in Azure‑based data platforms
- Microsoft Fabric / Azure Data Engineer / Azure Solutions Architect certifications preferred
8. Azure Databricks Engineer
The Azure Databricks Engineer will build scalable data pipelines, transformations, and Lakehouse solutions using Databricks (Spark, Delta Lake). This role involves development of batch/streaming jobs, data optimization, and implementing best practices for ETL and medallion architecture.
Key Responsibilities
- Spark/Databricks Development
- Data Lakehouse Engineering
- Integration & Orchestration
- Performance, Security & Governance
Required Skills
