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.
Solid 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.
Solid understanding of data governance, metadata management, and data lineage concepts.
Experience with structured, semi-structured, and unstructured data settings.
Excellent problem-solving, analytical, and stakeholder management skills.

📌 Walk In Data Architect S Kochi (India)
🏢 Tata Consultancy Services
📍 India