WALK-IN || Data warehousing Architect (Solution Architect)

Job description

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**