Principal Data Platform Engineer

The Principal Data Platform Engineer owns the architecture, reliability, and evolution of the enterprise data platform spanning both the analytical data stack and master data management. This is a senior role responsible for the systems and infrastructure that enable analytics, reporting, AI and operational data integrity across the company.

We are headquartered in the Madison, WI area, but this position is eligible for remote work within the continental United States,

The Principal Data Platform Engineer owns the architecture, reliability, and evolution of the enterprise data platform spanning both the analytical data stack and master data management. This is a senior role responsible for the systems and infrastructure that enable analytics, reporting, AI and operational data integrity across the company.

We are headquartered in the Madison, WI area, but this position is eligible for remote work within the continental United States, excluding California. Candidates must reside in and be legally authorized to work from an approved state. If you happen to live near and enjoy coming into the office, we will welcome you!

• Own the architecture and operations of the enterprise data platform: ingestion (Fivetran, Airbyte), transformation (dbt), warehousing (Big Query), and BI/serving layers (Looker, Hex)
• Manage cloud infrastructure as code using Terraform; ensure repeatable, version-controlled platform deployments
• Implement and maintain monitoring, observability, and data quality frameworks across the platform

• Own the Pimcore MDM platform end-to-end as the canonical source for item and location master data
• Define master data architecture standards and govern the item and location data domains
• Ensure master data flows correctly between operational systems and the analytical platform

• Define and evolve the data architecture roadmap in partnership with engineering leadership
• Architect the integration between operational master data (Pimcore) and the analytical platform (Big Query)
• Set technical standards for data modeling, pipeline design, and platform integration
• Evaluate and introduce new technologies that improve platform capability or reduce cost

• Own the data platform roadmap, including prioritization, sequencing, and alignment with business needs across Customer, Marketing, Merchandising, Product Development, Inventory Control, and Supply Chain
• Translate business requirements into platform and analytics deliverables; define success measures and acceptance criteria
• Manage the data team's intake and delivery pipeline against business priorities
• Communicate roadmap, trade-offs, and delivery status to executive stakeholders

• Provide technical leadership for a team of data engineers and Looker developers
• Set technical direction and priorities for the data team's work
• Review architecture, code, and design decisions across team deliverables
• Mentor and grow team members on data platform engineering, data modeling, and BI development practices

• Drive cost optimization across the data platform through architecture decisions, vendor consolidation, and infrastructure efficiency
• Establish operational practices that improve reliability and reduce manual intervention

• Build and maintain AI-ready data: ensure data quality, consistency, and structure across the platform so AI tools and agents can run on trustworthy data
• Drive adoption of AI capabilities across the platform (Looker agents, Hex AI) and integrate…