Role & responsibilities

- Design and implement enterprise-wide data architecture solutions.
- Create High-Level Design (HLD) and Low-Level Design (LLD) documents for data platforms and applications.
- Define data models, database structures, integration patterns, and data governance standards.
- Architect scalable ETL/ELT frameworks and data integration solutions.
- Lead database design, optimization, and performance tuning initiatives.
- Collaborate with Business Analysts, Solution Architects, Developers, and stakeholders to gather requirements.
- Establish data standards, best practices, and architectural guidelines.
- Design Data Warehouses, Data Marts, and Data Lake architectures.
- Perform data architecture reviews and ensure alignment with enterprise standards.
- Provide technical leadership and mentor development teams.
- Ensure data security,



compliance, scalability, and availability across platforms.
- Evaluate and recommend emerging data technologies and tools.

Preferred candidate profile

- 10-15 years of experience in Data Architecture, Database Design, and Data Engineering.
- Strong expertise in SQL and Relational Database Management Systems (RDBMS).
- Extensive experience designing ETL/ELT solutions.
- Proven experience creating HLD and LLD documents.
- Hands-on experience with Data Warehousing and Data Modeling.
- Experience leading large-scale data transformation and modernization programs.
- Solid stakeholder management and client-facing experience.

📌 Data Architect (Maharashtra)
🏢 Tata Consultancy Services
📍 Maharashtra