Data Architect

Summary

We’re Concentrix. The intelligent transformation partner. Solution-focused. Tech-powered. Intelligence-fueled.

The global technology and services leader that powers the world’s best brands, today and into the future. We’re solution-focused, tech-powered, intelligence-fueled. With unique data and insights, deep industry expertise, and advanced technology solutions, we’re the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact, and transact with. We shape new game-changing careers in over 70 countries, attracting the best talent.

The Concentrix Technical Products and Services team is the driving force behind Concentrix’s transformation, data, and technology services. We integrate world-class digital engineering, creativity, and a deep understanding of human behavior to find and unlock value through tech-powered and intelligence-fueled experiences. We combine human-centered design, powerful data, and strong tech to accelerate transformation  will be surrounded by the best in the world providing market leading technology and insights to modernize and simplify the customer experience.

Within our professional services team, you will deliver strategic consulting, design, advisory services, market research, and contact center analytics that deliver insights to improve outcomes and value for our clients. Hence achieving our vision.

Our game-changers around the world have devoted their careers to ensuring every relationship is exceptional. And we’re proud to be recognized with awards such as “World’s Best Workplaces,” “Best Companies for Career Growth,” and “Best Company Culture,” year after year.

Join us and be part of this journey towards greater opportunities and brighter futures.

Description

Data Architect

Job Location: USA, East Coast (or) Remote – willing to work in EST timings

Job Summary:

We are seeking an experienced Data Architect to design and build the unified data model supporting our Operational Data Store (ODS) initiative. This is a working architect role requiring both strategic data modeling expertise and hands‑on technical execution. The ideal candidate will bridge domain‑level data ownership (Data Mesh principles) with enterprise‑wide integration (Data Fabric patterns), creating a unified data layer that respects source system context while enabling cross‑domain analytics and operations.

This role requires someone who can define the architectural vision while personally building data models, writing transformation logic, and validating implementations against source systems. This is a remote, work at home opportunity in the US.

Key Responsibilities:

• Design and build the unified data model for the Operational Data Store, balancing domain‑specific context with enterprise integration requirements.

• Define the architectural approach for federating domain data products into a cohesive enterprise data layer without creating monolithic dependencies.

• Develop data transformation specifications, mapping rules, and working examples that preserve domain semantics while enabling cross‑domain consistency.

• Establish canonical data models that integrate across domain boundaries while respecting source system ownership and business context.

• Perform source system analysis, data profiling, and gap assessments to understand domain data products and their integration requirements.

• Write and validate SQL queries, transformation logic, and data quality rules to prove out architectural decisions before handoff.

• Define system of record ownership across domains and maintain accurate data lineage documentation for federated data sources.

• Design integration patterns that allow domains to evolve independently while maintaining enterprise data consistency.

• Collaborate directly with Data Engineers during implementation, troubleshooting data quality issues and refining transformation logic.

• Partner with domain stakeholders and enterprise architects to align domain data products with cross‑domain analytics and operational needs.

• Establish federated data governance standards that balance domain autonomy with enterprise consistency requirements.

• Conduct…