Senior Data Architect

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Our team is growing and we’re looking for best-in-class talent. We value experienced, career-minded employees who focus on teamwork, professionalism and an unparalleled commitment to customer service. We offer full-time employees a competitive benefits package that includes health, dental and vision insurance, along with life and AD&D insurance, 401k plans, vacation time and more.

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Position: Senior Data Architect

Location: REMOTE

Remote Status: Remote

Job : 3513-mSupply

# of Openings: 1

About mSupply TM mSupply is North America’s leading distributor of OEM repair parts and equipment, serving professionals in the appliance, HVAC, plumbing, commercial kitchen, and pool/spa industries. Headquartered in St. Louis, MO, mSupply is a multi-billion-dollar enterprise offering an extensive product range, industry expertise , and seamless service. With more than 2,000 associates across the U.S. and Canada, mSupply’s family of brands delivers with speed, reliability, and precision through its branches, distribution centers, and extensive fleet of delivery vehicles.

Shipped orders reach 93% of U.S. customers via next-day ground delivery and 100% within two days. For more information, visit  .

The Senior Data Architect defines and governs data architecture standards, master data strategy, and data modeling practices that underpin mSupply’s enterprise data platform. This role is the authoritative voice on how data is structured, integrated, governed, and consumed, ensuring architectural coherence as the company scales through organic growth and acquisitions. The platform is built on Microsoft Fabric, dbt, and Power BI.

• Lead the architecture and implementation of the enterprise Product MDM solution, defining the golden record structure, match key strategy, entity resolution rules, and survivorship logic across multiple source systems.
• Define and maintain enterprise data architecture standards, reference models, and design patterns for data integration, modeling, and master data governance.
• Design canonical data models for master data domains (product, customer, supplier, location), ensuring consistency, extensibility, and alignment with business semantics.
• Establish data quality rules, validation frameworks, and stewardship workflows for master data, including probabilistic matching, deduplication, and human-in-the-loop review processes.
• Partner with Data Engineering to translate architectural designs into pipeline patterns, dbt model structures, and medallion architecture layer definitions (Bronze, Silver, Gold).
• Define and enforce data contracts between source systems and the data platform, specifying schema expectations, quality thresholds, and change management protocols.
• Support acquisition data onboarding by defining repeatable patterns for mapping, profiling, and integrating new source systems into the enterprise data model.
• Drive data governance maturity including data cataloging, lineage documentation, classification standards, and stewardship role definitions.
• Communicate architectural decisions, tradeoffs, and roadmap recommendations to senior leadership in clear, business-relevant terms.

Required

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.
• 7+ years of experience in data architecture, data engineering, or data management roles, with at least 3 years focused on data modeling and architectural governance.
• Demonstrated experience designing and implementing MDM solutions, including entity resolution, match/merge logic, and data stewardship workflows.
• Deep expertise in data modeling (conceptual, logical, physical), dimensional modeling, and enterprise data integration patterns.
• Strong proficiency in SQL and experience with modern data transformation tools such as dbt.
• Experience with cloud-based data platforms (Azure, AWS, or GCP) and lakehouse or data…