Walk-in | Data Architect - S

Tata Consultancy Services; Ernakulam; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Tata Consultancy Services seeks an senior Data Architect to lead enterprise data architectures across warehouses, lakes, and lakehouses. You will define standards, governance and data models to align with business needs while guiding data teams and delivering scalable, secure solutions.

The role requires strong SQL skills, cloud experience (Azure/AWS/GCP) and hands-on ETL/ELT with governance expertise. Collaboration with business and tech stakeholders is essential.

Qualifications

• Bachelor's degree in CS/IS/Engineering or related field.
• 8+ years in Data Engineering, Architecture, or EDM.
• Strong data modeling skills: Dimensional Modeling, Data Vault, 3NF, Star/Snowflake.
• Experience with enterprise data warehouses, lakes, lakehouse.
• Proficient in SQL and database design.
• Cloud experience: Azure, AWS, GCP.
• Hands-on ETL/ELT and data integration tooling.
• Knowledge of governance, metadata, and data lineage.

Responsibilities

• Design enterprise data architectures and standards.
• Develop conceptual, logical, and physical data models.
• Architect data platforms, warehouses, lakes, and lakehouses.
• Enforce governance, metadata, quality, and MDM.
• Create data integration strategies across source systems.
• Collaborate with business/tech teams on data requirements.
• Design batch and real-time ingestion and processing.
• Ensure security, privacy, and regulatory compliance.
• Evaluate new data management technologies and best practices.
• Optimize storage, performance, and cost efficiency.
• Support cloud migration and modernization initiatives.
• Provide technical leadership to data teams.
• Develop architecture docs, data standards, and roadmaps.
• Participate in solution reviews and governance.

Skills

Dimensional Modeling

Data Vault

3NF

Star Schema

Snowflake Schema

SQL

Azure

AWS

GCP

ETL/ELT

Data governance

Data lineage

Structured/Unstructured data

Education

Bachelor's degree in Computer Science/Information Systems/Engineering

Job description

Key Responsibilities:

• Design and implement enterprise-wide data architecture strategies, frameworks, and standards.
• Develop conceptual, logical, and physical data models aligned with business requirements.
• Architect scalable data platforms, data warehouses, data lakes, and lakehouse solutions.
• Define and enforce data governance, metadata management, data quality, and master data management (MDM) practices.
• Establish data integration strategies across multiple source systems and applications.
• Collaborate with business and technical teams to understand data requirements and translate them into architecture solutions.
• Design batch and real-time data ingestion and processing frameworks.
• Ensure data security, compliance, privacy, and regulatory requirements are incorporated into architecture designs.
• Evaluate and recommend emerging technologies, tools, and best practices in data management and analytics.
• Optimize data storage, performance, scalability, and cost efficiency.
• Support cloud migration and modernization initiatives for data platforms.
• Provide technical leadership and guidance to data engineering, BI, and analytics teams.
• Develop architecture documentation, data standards, and technical roadmaps.
• Participate in solution reviews, architecture governance, and design discussions.

Required Skills & Qualifications:

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
• 8+ years of experience in Data Engineering, Data Architecture, or Enterprise Data Management.
• Strong expertise in data modeling techniques including:
  • Dimensional Modeling
  • Data Vault
  • Third Normal Form (3NF)
  • Star and Snowflake Schemas
• Experience designing enterprise-scale Data Warehouses, Data Lakes, and Lakehouse architectures.
• Strong knowledge of SQL and database design principles.
• Experience with cloud data platforms such as:
  • Microsoft Azure
  • Amazon Web Services (AWS)
  • Google Cloud Platform (GCP)
• Hands-on experience with ETL/ELT processes and data integration tools.
• Strong understanding of data governance, metadata management, and data lineage concepts.
• Experience with structured, semi-structured, and unstructured data environments.
• Excellent problem-solving, analytical, and stakeholder management skills.