Role & responsibilities

- Define and implement enterprise data architecture standards, frameworks, and best practices.
- Design scalable and secure data models, data warehouses, data lakes, and lakehouse architectures.
- Lead data modernization and cloud migration initiatives.
- Collaborate with business stakeholders, application architects, and technology teams to translate business requirements into technical solutions.
- Develop enterprise-wide data integration, master data management (MDM), metadata management, and governance strategies.
- Establish data quality, security, privacy, and compliance frameworks.
- Design real-time and batch data processing architectures.
- Evaluate and recommend data technologies, platforms, and tools.
- Support AI/ML, analytics, and business intelligence initiatives through robust data architecture design.
- Drive performance optimization and scalability improvements for data platforms.
- Mentor data engineers, data analysts, and technical teams.
- Create architecture documentation, roadmap plans, and technical standards.

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