Data Architect

Tata Consultancy Services; India; On-site; INR 1,500,000 - 2,900,000; Full time

Job summary

Tata Consultancy Services is seeking a senior data architect to define and implement enterprise data architecture standards, frameworks, and best practices. You will design scalable data models, data warehouses, data lakes, and lakehouse architectures while guiding data modernization and cloud migration initiatives.

You will collaborate with business stakeholders, application architects, and technology teams to translate requirements into technical solutions, establish governance, ensure data

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.

Job description

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.