Data Architect

Tata Consultancy Services; Dallas (TX); On-site; USD 120,000 - 140,000; Full time

Job summary

Tata Consultancy Services is seeking an experienced Data Architect in the United States to lead enterprise data modernization initiatives, define target-state architecture, and build scalable data platforms supporting analytics, AI, governance, and BI.

The role requires deep expertise in AWS, Snowflake, Data Warehousing, Data Products, and Enterprise Data Architecture, partnering with stakeholders and engineering teams to drive strategy and implementation.

Qualifications

• Bachelor's degree in Computer Science or equivalent
• Experience designing enterprise data architectures and platforms
• Proficiency with AWS, Snowflake, and data governance practices

Responsibilities

• Define and maintain enterprise data architecture standards and principles.
• Develop current-state, transitional, and target-state data architecture roadmaps.
• Establish strategies for data modernization, cloud adoption, and platform consolidation.
• Drive enterprise data product adoption and reusable data asset frameworks.

Skills

Data Modeling

Data Product Design

Master Data Management

Real-Time Integration Patterns

Python

SQL

Education

Bachelor's degree in Computer Science

Tools

AWS

Snowflake

Data Lake Architecture

Data Warehouse Architecture

Cloud-Native Data Platforms

dbt

AWS Glue

Fivetran

Job description

Core Technical Skills

• Data Modeling (Conceptual, Logical, Physical)
• Data Product Design
• Master Data Management (MDM)
• Real-Time Integration Patterns
• dbt
• AWS Glue
• Fivetran
• Python
• SQL

Job Description

Must Have Technical/Functional Skills

Required Technical Skills

Cloud & Data Platforms

• AWS
• Snowflake
• Data Lake Architecture
• Data Warehouse Architecture
• Cloud-Native Data Platforms

Architecture & Modeling

• Enterprise Data Architecture
• Data Modeling (Conceptual, Logical, Physical)
• Data Product Design
• Master Data Management (MDM)
• Customer 360 Architecture
• Real-Time Integration Patterns

Data Engineering Ecosystem

• dbt
• AWS Glue
• Fivetran
• Python
• SQL

Roles & Responsibilities

We are seeking an experienced Data Architect to lead enterprise data modernization initiatives, define target-state architecture, and establish scalable data platforms supporting analytics, AI, governance, and business intelligence. The ideal candidate will possess deep expertise in AWS, Snowflake, Data Warehousing, Data Products, Data Governance, and Enterprise Data Architecture.

This role will partner with business stakeholders, data engineers, solution architects, and leadership teams to drive enterprise-wide data strategy and implementation.

Key Responsibilities

Enterprise Data Strategy

• Define and maintain enterprise data architecture standards and principles.
• Develop current-state, transitional, and target-state data architecture roadmaps.
• Establish strategies for data modernization, cloud adoption, and platform consolidation.
• Drive enterprise data product adoption and reusable data asset frameworks.

Architecture & Design

• Design scalable cloud-native data platform architectures.
• Define data ingestion, transformation, storage, and consumption patterns.
• Architect data lakes, data warehouses, and data marts.
• Establish reference architectures for analytics, AI, and operational reporting.

Data Governance & Quality

• Define enterprise data governance standards and best practices.
• Lead metadata, lineage, and data catalog initiatives.
• Establish data quality frameworks and governance controls.
• Ensure compliance with security, privacy, and regulatory requirements.

Stakeholder Engagement

• Work directly with business leaders to understand strategic data needs.
• Translate business requirements into scalable data architecture solutions.
• Provide architecture guidance to engineering and delivery teams.
• Lead architecture reviews and technology evaluations.

Salary Range: $120,000 to $140,000 per year

Qualifications: BACHELOR OF COMPUTER SCIENCE