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# Data Architect

- **Company:** Tata Consultancy Services Limited
- **Location:** Edison, NJ, United States
- **Experience:** Expert
- **Salary:** $110,000.0 - $125,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Microsoft Azure, Databases, Continuous Integration, Data Architecture, Data Validation, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Mapping, Data Security, Data Warehousing, Software Design Patterns, DevOps, Financial Software, Apache Hive, Role-Based Access Control, SAP (Applications), Software Engineering, Transaction Data, Data Ingestion, Azure Data Factory, Sql Optimization, Microsoft Fabric, Data Lakes, Pyspark, Information Technology, Star Schema, Data Pipelines, Databricks
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-architect-edison-nj--67cba3f0-0cbb-4bf7-aade-ab71b2ca07a3

## About the Role

DataArchitect Data Modeling Tool, Computer Science, Microsoft Windows Azure, Data Lake, Design Patterns Programming Methodologies, Database Extract Transform and Load (ETL), Data Modeling, Star Schema, Data Warehousing, Access Control, Required Skills: Data architect

Qualification: BACHELOR OF COMPUTER SCIENCE

Experience: 8 - 15 Years, Must Have Technical/Functional Skills

 * Strong hands-on experience in Microsoft Fabric / Azure Data Engineering stack

o Lakehouse, OneLake, Pipelines, Notebooks

o Azure Data Factory / ADLS / Databricks

 * Strong knowledge of:

o Data Lake architecture & design patterns

o ETL/ELT frameworks and pipeline orchestration

o PySpark / Spark SQL / Advanced SQL

o Data Lake / Lakehouse / DWH concepts

o Data modeling (Star Schema, Fact/Dimension design

o 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:

o Data mapping (source-to-target at attribute level)

o ERP data structures (master & transactional data)

o Data analysis and data validation techniques