Data Architect

Tata Consultancy Services; Thiruvananthapuram; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Tata Consultancy Services is seeking an experienced Data Architect to design, develop, and manage enterprise-wide data architecture solutions, enabling scalable, secure, and high-performing data platforms for business intelligence, analytics, reporting, and data-driven decision-making.

The Data Architect will collaborate with business stakeholders, data engineers, architects, and application teams to define data strategies, data models, governance standards, and cloud-based data solutions, while

Responsibilities

• Design and implement enterprise data architecture and data management frameworks.
• Develop conceptual, logical, and physical data models.
• Define data integration, data migration, and data warehousing strategies.
• Establish data governance, data quality, metadata management, and data security standards.
• Design scalable data lakes, lakehouses, and data warehouse solutions.
• Collaborate with business and technical teams to gather and translate data requirements.
• Optimize database performance, storage, and data processing architectures.
• Support data modernization and cloud migration initiatives.
• Ensure compliance with regulatory and security requirements.
• Provide technical leadership and best practices for data engineering and analytics teams.

Job description

Job Title: Data Architect

Job Summary: We are seeking an experienced Data Architect to design, develop, and manage enterprise-wide data architecture solutions. The ideal candidate will be responsible for creating scalable, secure, and high-performing data platforms that support business intelligence, analytics, reporting, and data-driven decision-making. The Data Architect will collaborate with business stakeholders, data engineers, architects, and application teams to define data strategies, data models, governance standards, and cloud-based data solutions.

Key Responsibilities

• Design and implement enterprise data architecture and data management frameworks.
• Develop conceptual, logical, and physical data models.
• Define data integration, data migration, and data warehousing strategies.
• Establish data governance, data quality, metadata management, and data security standards.
• Design scalable data lakes, lakehouses, and data warehouse solutions.
• Collaborate with business and technical teams to gather and translate data requirements.
• Optimize database performance, storage, and data processing architectures.
• Support data modernization and cloud migration initiatives.
• Ensure compliance with regulatory and security requirements.
• Provide technical leadership and best practices for data engineering and analytics teams.