Data Architect

Tata Consultancy Services; Bengaluru; On-site; INR 2,800,000 - 4,200,000; Full time

Job summary

Tata Consultancy Services in Bengaluru seeks a highly skilled Data Architect to design and implement scalable enterprise data architecture for modern platforms.

You will define data models, standards and governance, architect Snowflake data warehouses, and lead ETL/ELT pipelines with AWS/Azure data services.

Collaborate with stakeholders and data teams to ensure data quality and regulatory compliance while driving cloud transformation and modernization.

Qualifications

• 5+ years of experience in data architecture and data warehousing.
• Experience designing dimensional models (Star/Snowflake) for analytics.
• Strong knowledge of data governance and regulatory compliance.

Responsibilities

• Design and implement scalable enterprise data architecture solutions for modern data platforms.
• Define and maintain data models, data standards, and data governance frameworks across the organization.
• Architect and optimize Snowflake data warehouse solutions for performance, scalability, and security.
• Lead the design of ETL/ELT pipelines using industry-standard data integration platforms.
• Develop and maintain dimensional data models (Star Schema, Snowflake Schema) for analytics and reporting.
• Work with AWS/Azure data services including data lakes, data warehouses, and cloud-native integration tools.
• Collaborate with business stakeholders, data engineers, and BI teams to translate business requirements into data solutions.
• Ensure data quality, metadata management, master data management, and regulatory compliance standards are met.
• Provide technical leadership for data migration, modernization, and cloud transformation initiatives.

Skills

Data Architecture

Data Warehousing

Snowflake

ETL

Enterprise Data Modeling

Cloud Data Platforms

Data Governance

Tools

Snowflake

AWS

Azure

Job description

• Design and implement scalable enterprise data architecture solutions for modern data platforms.
• Define and maintain data models, data standards, and data governance frameworks across the organization.
• Architect and optimize Snowflake data warehouse solutions for performance, scalability, and security.
• Lead the design of ETL/ELT pipelines using industry-standard data integration platforms.

Develop and maintain dimensional data models (Star Schema, Snowflake Schema) for analytics and reporting.

5.Work with AWS/Azure data services including data lakes, data warehouses, and cloud-native integration tools.

6.Collaborate with business stakeholders, data engineers, and BI teams to translate business requirements into data solutions.

7.Ensure data quality, metadata management, master data management, and regulatory compliance standards are met.

8.Provide technical leadership for data migration, modernization, and cloud transformation initiatives.

Strong expertise in Data Architecture, Data Warehousing, Snowflake, ETL, Enterprise Data Modeling, Cloud Data Platforms, and Data Governance is required.