Data Architect

Job Description

• Strong hands-on experience in Microsoft Fabric / Azure Data Engineering stack
• Lakehouse, OneLake, Pipelines, Notebooks
• Strong knowledge of:
• ETL/ELT frameworks and pipeline orchestration
• PySpark / Spark SQL / Advanced SQL
• Data Lake / Lakehouse / DWH concepts
• Data security (row/column level security concepts
• Strong experience in Data Lake / Data Warehouse implementations as an Architect
• Experience in data governance, security & access control (RBAC, Purview, etc.)
• Experience in CI/CD & DevOps for Data Engineering
• Hands-on experience working with SAP and multiple ERP systems (Sales & Finance modules preferred) for data ingestion
• Good understanding of:
• Data mapping (source-to-target at attribute level)
• ERP data structures (master & transactional data)
• Data analysis and data validation techniques

Must Have Technical/Functional Skills

• Strong hands-on experience in Microsoft Fabric / Azure Data Engineering stack
• Lakehouse, OneLake, Pipelines, Notebooks
• Azure Data Factory / ADLS / Databricks
• Strong knowledge of:
• Data Lake architecture & design patterns
• ETL/ELT frameworks and pipeline orchestration
• PySpark / Spark SQL / Advanced SQL
• Data Lake / Lakehouse / DWH concepts
• Data modeling (Star Schema, Fact/Dimension design
• Data security (row/column level security concepts
• Strong experience in Data Lake / Data Warehouse implementations as an Architect
• Experience in data governance, security & access control (RBAC, Purview, etc.)
• Proven experience in enterprise-scale data platform design
• Experience in CI/CD & DevOps for Data Engineering
• Hands-on experience working with SAP and multiple ERP systems (Sales & Finance modules preferred) for data ingestion
• Good understanding of:
• Data mapping (source-to-target at attribute level)
• ERP data structures (master & transactional data)
• Data analysis and data validation techniques

Base Salary Range: $110,000 - $125,000 per annum

TCS Employee Benefits Summary

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support: Maternal & Parental Leaves.
• Insurance Options: Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
• Time Off: Vacation, Time Off, Sick Lea ve & Holidays.
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Qualifications

BACHELOR OF COMPUTER SCIENCE