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Principal Data & Semantic Architect (Hybrid Work Schedule)

Parts Town
vision insurance, parental leave, paid time off, paid holidays, sick time, 401(k)
United States, Illinois, Addison
1200 Greenbriar Drive (Show on map)
Feb 14, 2026
Position at Parts Town

See What We're All About

As the fastest-growing distributor of restaurant equipment, HVAC and residential appliance parts, we like to do things a little differently. First, you need to understand and demonstrate our Core Values with safety being your first priority. That's key. But we're also looking for unique enthusiasm, high integrity, courage to embrace change...and if you know a few jokes, that puts you on the top of our list!

Do you have a genius-level knowledge of original equipment manufacturer parts? If not, no problem! We're more interested in passionate people with fresh ideas from different backgrounds. That's what keeps us at the top of our game. We're proud that our workplace has been recognized for its growth and innovation on the Inc. 5000 list 15 years in a row and the Crain's Fast 50 list ten times. We are honored to be voted by our Chicagoland team as a Chicago Tribune Top Workplace for the last four years.

If you're ready to roll up your sleeves, go above and beyond and put your ambition to work, all while having some fun, let's chat - Apply Today!

Perks

  • Parts Town Pride - check out our virtual tour and culture!
  • Hybrid Work schedule
  • Team member appreciation events and recognition programs
  • Volunteer opportunities
  • Monthly IT stipend
  • Casual dress code
  • On-demand pay options: Access your pay as you earn it, to cover unexpected or even everyday expenses
  • All the traditional benefits like health insurance, 401k/401k match, employee assistance programs and time away - don't worry, we've got you covered.

The Job at a Glance

Parts Town is building a modern data and AI platform to support advanced analytics and AI use cases across our rapidly growing organization. As our Principal Data and Semantic Architect, you will design a unified architecture for the entire data lifecycle, from extraction and integration to warehousing for complex modeling. This is a hybrid role between architecture and engineering where you define engineering best practices, conduct code reviews, and mentor junior engineers to raise the technical bar. You will also go toe-to-toe with the engineering team around delivery to ensure the platform is built to a high standard of scalability and reuse. You will partner with our Cyber and Legal teams to meet security requirements and work with our Governance team to ensure consistent nomenclature and KPI definitions are used across the business.

A Typical Day

  • Own and evolve the enterprise warehousing domains across core Parts Town functions like Customer, Part, Inventory, and Order.
  • Define business objects, relationships, and metrics that work across any platform.
  • Conduct code reviews and set the engineering standards for the wider data team.
  • Work directly with Business Process Owners and Product Owners to turn requirements into technical blueprints.
  • Mentor junior engineers and advise the Analytics and AI teams on how to use enterprise definitions correctly.
  • Enable advanced analytics and agentic AI use cases using trusted, shared business objects.

To Land This Opportunity

  • You have 8+ years of experience in data engineering and architecture within large enterprise environments
  • You have extensive experience building Kimball-style warehouse models, ideally in retail or logistics
  • You're an expert in SQL and DDL
  • You have deep knowledge of cloud platforms like BigQuery, Snowflake, Redshift, or Databricks.
  • You demonstrate experience with high-scale ETL tools like Spark, Informatica, AWS Glue, or Google Cloud Dataflow.
  • You have strong programming skills in Python, Java, or Scala.
  • You have experience building enterprise semantic layers (like Power BI or AtScale) for complex analytics.
  • You're familiar with knowledge graphs, graph databases, or semantic technologies (RDF, OWL).
  • You have experience supporting AI, machine learning, or agentic decision-making use cases.

About Your Future Team

We are about working hard and playing hard. We are about having each other's backs, taking on responsibility and making things better for all. We are gritty, roll back your sleeves and get the job done with an inclusive, positive can-do attitude. We enjoy our social events, celebrating with food (of course) and celebrating our team members life's milestones and events

At Parts Town, we value transparency and are committed to ensuring our team members feel appreciated and supported. We prioritize our positive workplace culture where collaboration, growth, and work-life balance are celebrated. The salary range for this role is $129,210.34 - 174,374.13 salary which is based on including but not limited to qualifications, experience, and geographical location. Parts Town is a pay for performance-company. In addition to base pay, some roles offer a profit-sharing program, and an annual bonus depending on the role. Our comprehensive benefits package includes health, dental and vision insurance, 401(k) with match, employee assistance programs, paid time off, paid sick time off, paid holidays, paid parental leave, and professional development opportunities.

Parts Town welcomes diversity and as an equal opportunity employer all qualified applicants will be considered regardless of race, religion, color, national origin, sex, age, sexual orientation, gender identity, disability or protected veteran status.


We are an E-Verify employer.

For more information, please click on the following links:
E-Verify Participation Poster: English | Spanish
E-Verify Right to Work Poster: English | Spanish

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