WALK-IN || Datawarehousing Architect (Solution Architect)

Greetings from TCS!!!

Come and join us for an exciting career with TCS!!!

Role- Data warehousing Architect (Solution Architect)

Experience: 10 - 15 Years

Walk In Venue: TCS Bhubaneswar, Chandrasekharpur, Bhubaneswar, Odisha 751024, India

Walk In Date - 27-June-26 (Saturday)

Role Summary

We are seeking an experienced Data Warehousing Architect (Solution Architect) to design and implement scalable, high-performance data warehouse solutions. The role involves defining architecture strategy, ensuring data integrity, and enabling enterprise analytics through robust data platforms.

Key Responsibilities

• Design and implement enterprise data warehouse architecture (on-prem/cloud)
• Define end-to-end data architecture including ingestion, transformation, storage, and consumption layers
• Lead solution design for ETL/ELT pipelines and data integration frameworks
• Develop data models (conceptual, logical, physical) for scalable analytics systems
• Work closely with business stakeholders to translate requirements into technical solutions
• Define best practices for data governance, data quality, and performance optimization
• Architect solutions on cloud platforms (AWS / Azure / GCP / Snowflake, etc.)
• Oversee data migration, modernization, and transformation initiatives
• Provide technical leadership and mentor engineering teams
• Ensure scalability, reliability, and security of data platforms
• Participate in solution reviews, architecture governance, and stakeholder discussions

Technical Skills – Mandatory

• Strong experience in Data Warehousing concepts and architecture
• Expertise in data modeling (Star/Snowflake schema, dimensional modeling)
• Hands-on experience in ETL/ELT tools (Informatica, Talend, ADF, etc.)
• Strong proficiency in SQL and database design
• Experience with cloud data platforms (Snowflake / Redshift / BigQuery / Azure Synapse)
• Knowledge of data integration patterns and large-scale data processing
• Experience in solution architecture and enterprise data design
• Understanding of data governance, metadata management, and security frameworks