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Senior Data Architect

mSupply -
Remote

Quick Apply

Job Details

Full-time

Benefits

Health savings account
Paid holidays
Disability insurance
Health insurance
Dental insurance
401(k)
Flexible spending account
Paid time off
Employee assistance program
Vision insurance
Employee discount
Life insurance
Prescription drug insurance

Qualifications

Data model design
Commercial use (data warehousing systems)
Systems integration
Integration Architecture Design (Architecture design skills)
Enterprise solutions implementation
Schema design
SQL
Data Architecture Design (Architecture design skills)
Enterprise Integration
Implementing IT solutions
Project stakeholder communication
Master data management
Dimensional modeling
Database software proficiency
Design patterns

Full Job Description

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 mSupply.com.

Job Summary

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.

Job Duties & Responsibilities

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.

Qualifications

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 warehouse architectures.
Proven ability to communicate architectural decisions and tradeoffs to both technical teams and senior business stakeholders.

Preferred

Experience with Microsoft Fabric, Azure Synapse Analytics, or Azure Data Factory.
Familiarity with probabilistic matching tools or frameworks (Splink, Informatica MDM, Reltio, or similar).
Experience integrating data across multiple ERP systems (Eclipse, Business Central, or similar) in a multi-business-unit environment.
Background in wholesale distribution, supply chain, HVAC, plumbing, or related B2B sectors.
Experience or demonstrated ability using AI-powered tools (e.g., code assistants, LLMs, AI-augmented workflows) to accelerate work and improve outcomes.

Physical Demands & Work Environment

This is a full-time position. Duties are primarily performed in an office or remote work environment.

Primarily sedentary work with extended periods at a computer
Ability to communicate effectively in person, by phone, and through virtual collaboration tools
Occasional standing, walking, and movement during meetings or travel
Ability to travel periodically for business needs, including visits to distribution centers, suppliers, or industry events
Office environment with standard business equipment such as computers, phones, and conferencing tools

What We Offer

We prioritize your well-being from day one with a comprehensive benefits package that includes:

Medical, dental, vision, and prescription coverage effective immediately
401(k) plan with company contributions
Life insurance and short-term disability coverage
HSA/FSA options and an Employee Assistance Program (EAP)
Paid time off, including vacation, holidays, and personal days
Weekly pay, employee discounts, and more

Equal Employment Opportunity & Pre-Employment Requirements

mSupply is an Equal Opportunity Employer. We make employment decisions without regard to sex, age, race, color, creed, religion, national origin, citizenship or immigration status, sexual orientation, gender identity or expression, disability, genetic information, marital status, veteran or military status, or any other status protected by applicable federal, state, or local law.

We are committed to providing reasonable accommodations for qualified individuals with disabilities and to applicants with sincerely held religious beliefs. To request a reasonable accommodation, please contact [email protected].

Final offers of employment may be contingent upon completion of job-related pre-employment checks and screenings permitted by law. For roles that require operation of a company vehicle, a Motor Vehicle Record (MVR) check may also be conducted. This employer participates in E-Verify to confirm employment eligibility in the United States. #mSupply

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