Canonical Data Architect

Cloud Tekis; United States; Remote; USD 165,000 - 248,000; Full time

Job summary

TCS is seeking an experienced Canonical Data Architect to design and implement enterprise-wide canonical data models and standards. The role emphasizes data architecture, canonical data models, data integration, APIs, and governance for global systems.

You will collaborate with business, application, integration, and data teams to define standardized data structures and enable consistent data exchange across enterprise environments.

Qualifications

• Experience designing canonical data models and data standards.
• Strong background in data integration, APIs, and governance.
• Ability to collaborate with cross-functional teams across enterprise systems.
• Proven track record in enterprise data architecture.

Responsibilities

• Design and maintain Canonical Data Models for enterprise applications.
• Define common business entities, attributes, relationships, and data standards.
• Develop data architecture and integration strategies across multiple systems.
• Work with APIs, microservices, ETL/ELT, and event-driven integration.

Skills

CDM design

Data governance

API integration

ETL/ELT

Enterprise architecture

Job description

Job Title: Canonical Data Architect

Client: TCS

Location: Remote

Duration: Contract

Employment Type: Contract

Job Summary

We are looking for an experienced Canonical Data Architect to design and implement enterprise-wide canonical data models and standards. The ideal candidate will have strong experience in data architecture, canonical data models, data integration, APIs, and enterprise data governance.

The candidate will work closely with business, application, integration, and data teams to define standardized data structures and enable consistent data exchange across enterprise systems.

Key Responsibilities

• Design and maintain Canonical Data Models (CDM) for enterprise applications.

• Define common business entities, attributes, relationships, and data standards.

• Develop data architecture and integration strategies across multiple systems.

• Work with APIs, microservices, ETL/ELT, and event-driven int