Principal Data & Semantic Architect (GCP + Palantir)
About The Position
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! Parts Town is building a modern, scalable Data & AI platform to support high growth, distribution centric operations across our global business The Enterprise Data & Semantic Architect owns this semantic foundation end-to-end, spanning Google Cloud Platform (GCP) as the enterprise data platform and Palantir Foundry as a primary ontology, application, and decisioning layer. This role ensures that data pipelines, domain data products, ontologies, and AI use cases all speak the same business language, eliminating duplicated logic, reconciliation issues, and brittle integrations. This is a senior, hands-on architecture role operating at the intersection of business domains, data engineering, analytics, and AI enablement.
Requirements
- 8+ years in data architecture, semantic modeling, or enterprise analytics architecture roles.
- Proven experience designing enterprise-scale data or semantic models.
- Strong SQL and Python skills; experience with BigQuery or similar cloud data platforms.
- Experience with Palantir Foundry or ability to ramp quickly.
- Hands on experience with BigQuery or similar cloud data warehouses.
Nice To Haves
- Experience with knowledge graphs, graph databases, or semantic technologies (RDF, OWL, graph models).
- Experience supporting AI/ML or agentic decisioning use cases.
Responsibilities
- Own and evolve the enterprise semantic model / ontology across core Parts Town domains (Customer, Part, Inventory, Order, Pricing, Supplier, Warehouse).
- Define canonical business objects, relationships, hierarchies, and metrics that are platform-agnostic by design.
- Lead ontology design and implementation in Palantir Foundry, including object modeling, relationships, derived metrics, and object-level security.
- Ensure semantic alignment between Palantir ontology objects and GCP domain data products ( BigQuery , curated datasets, ML-ready data).
- Partner closely with Business Process Owners, Product Owners, and domain leaders to capture real operational logic and prioritize semantic evolution.
- Establish and run lightweight governance for semantic changes (definitions, versioning, impact analysis, documentation).
- Enable analytics, applications, and AI/agentic use cases using shared, trusted business objects.
- Act as the senior semantic authority, advising Data Engineering, Analytics, and AI teams on correct use of enterprise definitions.
Benefits
- 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.
- health, dental and vision insurance
- 401(k) with match
- employee assistance programs
- paid time off
- paid sick time off
- paid holidays
- paid parental leave
- professional development opportunities
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
