Parts Town was built from the ground up in 1987 with a team of just 5 people. The goal – to reinvent the restaurant equipment parts industry. 35 years later, we’re one of the fastest growing parts distributors in the foodservice equipment industry and have 1000+ team members who support national and international customers.
How did we do it? We hired great people with great ideas. Where others saw the impossible, our Townspeople saw opportunity. We formed important partnerships with manufacturers and built an expansive inventory of OEM parts so we can ship faster and more efficiently. We kept technology front of mind, developing the industry’s first mobile app, where you can research and purchase parts with ease (no more headaches!). As our story continues to unfold, our culture will continue to be centered around our core values (Safety, Integrity, Community, Passion, Courage, and Innovation).
Parts Town has been named to the Inc. 5000 list 15 years in a row, the Crain’s Fast 50 list 10 times, and we’ve landed on Chicago Tribune’s Top Workplace list for the past 3 years. We aren’t satisfied yet - our sights are always set on bigger, outside-the-box opportunities that will shake up the norm. We’re just getting started. Join us!

Industry: Transportation, Logistics, Supply Chain and Storage
Company Size: 1,001-5,000 employees

Parts Town

Savvy Admin PROD

**Description**

~~Position at Parts Town~~

Principal Data & Semantic Architect

**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 emerging AI use cases across a rapidly growing organization. As a Principal Data and Semantic Architect , you will operate at the intersection of data architecture and hands-on engineering, helping shape how data is modeled, exposed, and used across the business.

This role focuses on owning and improving the core data foundations that power analytics and AI, from warehouse design and dimensional modeling to semantic layer development and system integration. You will work directly in the code and data, defining practical standards, reviewing implementations, and ensuring consistency and quality across the platform.

You will partner closely with data engineers to challenge and refine solutions, ensuring the platform is built for scalability, usability, and reuse. You will also collaborate with product, governance, and security stakeholders to align on definitions, data quality, and access patterns so that data can be trusted and consistently used across the organization.

This is a hands-on role for someone who can move between modeling, SQL, and system design, and who is comfortable stepping into the details to make sure things are built the right way.

A Typical Day

- Design and refine dimensional data models (fact/dimension, star schemas) to support analytics and AI use cases.

- Write, review, and optimize SQL used across the warehouse and semantic layer.

- Build and evolve the semantic or metrics layer to ensure consistent, trusted business definitions.

- Partner directly with data engineers to review implementations, challenge design decisions, and improve data pipelines.

- Debug data issues across the stack, from ingestion through transformation to consumption.

- Modify or extend APIs and services to make data and functionality accessible for downstream systems and AI workflows.

- Build connectors or lightweight services that enable systems to interact programmatically.

- Translate business and product requirements into practical data models and system designs.

- Identify gaps in the current architecture and drive pragmatic improvements without overengineering.

- Support AI and agent-driven use cases by ensuring data is structured, accessible, and reliable.

To Land This Opportunity

- You have 7–10 years of experience in data engineering, analytics engineering, or data architecture in production environments.

- You have deep, hands-on SQL skills and are comfortable working directly in complex warehouse environments.

- You have experience working across multiple modern data warehouse platforms (e.g., BigQuery, Snowflake, Redshift, Databricks) and understand their tradeoffs.

- You have strong experience modeling data using Kimball-style dimensional modeling (fact/dimension design, star schemas), and have owned or significantly influenced modeling standards.

- You have built or maintained semantic layers or metrics layers that support BI and downstream applications at scale.

- You have strong programming skills (Python preferred) and can build or modify APIs, services, or connectors when needed.

- You have experience working closely with data engineers and are comfortable reviewing, challenging, and improving engineering implementations.

- You understand how data moves across systems end-to-end, from ingestion through transformation to consumption, and have taken ownership of parts of that lifecycle.

- You are comfortable operating in ambiguous environments and taking ownership of the details that make systems actually usable.

- You have exposure to AI/ML or LLM-based workflows and understand how data platforms need to evolve to support them.

**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.

Principal Data and Semantic Architect (Hybrid Work Schedule)

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