Job description

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. Work Environment: 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! What You’ll Do: Platform Engineering & Infrastructure • Own the architecture and operations of the enterprise data platform: ingestion (Fivetran, Airbyte), transformation (dbt), warehousing (BigQuery), 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 Master Data & Domain Architecture • 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 Architecture & Technical Leadership • Define and evolve the data architecture roadmap in partnership with engineering leadership • Architect the integration between operational master data (Pimcore) and the analytical platform (BigQuery) • Set technical standards for data modeling, pipeline design, and platform integration • Evaluate and introduce new technologies that improve platform capability or reduce cost Platform Roadmap & Stakeholder Partnership • 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 Team Leadership • 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 Cost & Operational Excellence • 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 AI Enablement & Data Governance • 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 emerging AI tools into data team workflows • Establish data governance standards across the platform, including data quality, lineage, master data stewardship, and access controls • Define standards and guardrails for AI usage within the data platform, and identify high-value AI use cases for business stakeholders Scope & Impact • Senior Leader managing the data engineering team directly and reporting into the Senior Director of e-commerce, Application Architecture and Data Platforms • Technical authority across data engineering, analytics, BI, and master data functions • Direct partnership with director-level stakeholders on data strategy and architecture What We’re Looking For: • Bachelor's Degree • 15+ years of IT experience, including extensive data engineering and platform work, with 5+ years at a senior or lead level • Expert-level SQL, Python for data engineering, and data modeling fundamentals (dimensional, SCD, fact/dimension design) • Deep expertise across the modern data stack: GCP, BigQuery, dbt, Fivetran, Airbyte, Looker, Hex, and orchestration tools (Dagster, Airflow) • Strong infrastructure-as-code background, particularly Terraform on GCP • Hands-on experience integrating AI capabilities into analytics platforms (Looker agents, Hex AI) • Experience owning master data platforms (Pimcore or equivalent) • Demonstrated technical leadership of engineering teams and ownership of platform roadmaps • Track record of platform-level decisions with measurable business impact and executive stakeholder partnership • Authorization to work in the United States without sponsorship. Leadership Competencies: Leading Self: Leading Others: • Inspiring Trust • Adaptability • Mature Confidence • Career and Self Development • Driving Execution • Building Organizational Relationships • Empowering Others • Fostering Open Dialogue • Attracting & Developing Talent • Leadership Versatility Physical Environment & Travel Expectations: • Travel is required for less than 10% of company-related meetings, programs, and/or events. • Sitting is required for 90% of working hours. • Standing is required for 10% of working hours. • Continuous arm, hand, and wrist movement (ie: typing) • Occasional reaching, twisting, and bending. • Noise level no greater than casual conversation. • Ability to perform work in cubicle workstations or an office setting. • Work in temperatures ranging from 65 - 75 degrees. Onsite Interview & Onboarding Requirements: To foster our collaborative culture, Duluth Trading Company incorporates in-person touch points into our hiring and onboarding experience for this remote role: • Final Interview: Held on-site at our office in Mount Horeb, WI , giving you a firsthand look at our workspace and daily operations. • HQ Onboarding: Newly hired team members will spend their first week of onboarding live at our headquarters to kickstart training and team integration. ✈️ Travel Note: Duluth Trading Company will fully coordinate and fund all travel arrangements and accommodations for both the final interview and the onboarding week. Duluth Headquarters Benefits and Perks Our pursuit of a better way isn't just about our products—it's about our people too. That's why our Dam Good Crew enjoys a comprehensive benefits package, designed to support their well-being and success. • Multiple Medical plan options • Dental & Vision plans • Medical and Dependent Care Flexible Spending Accounts • Health Savings Account including company contributions • Company paid Life Insurance and AD&D • Company paid Short-Term Disability • Other various voluntary benefits including: Accident, Critical Illness, Hospital Indemnity, Long-Term Disability and Supplemental Life Insurance • 401(k) Employer Match • Parental Leave • Paid holidays: New Year’s Day, Martin Luther King Jr. Day, Memorial Day, Juneteenth, Independence Day, Labor Day, Thanksgiving Day, Christmas Eve, Christmas Day • Paid Time Off: take it as you need it policy for exempt employees • Daily pay available • 40% Employee Discount • Flexible Fridays • Onsite fitness center Position Compensation Outline Compensation Range: $160,000 - $185,000/year This position is eligible to participate in the company bonus program. Compensation listed is for the full-time position at this specific location and is based on several factors, including experience, and qualifications. Benefits and perks may have eligibility requirements and are subject to change. The responsibilities outlined in this position description are a guideline for the general duties of the position and are not exhaustive of all duties inherent in the job. Duluth Trading Company is an Equal Opportunity Employer. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform essential functions. Started in 1989, Duluth Trading Company exists to enable hard-working individuals to take on life with their own two hands. Folks that revel in doing it the hard way and celebrate finding a better way. We seek talented individuals who share these beliefs and are excited to further the Duluth Trading legacy with a digital-first mindset, always moving forward and always innovating. From ingenious Duluth workwear, to comfortably capable Buck Naked Underwear, to outside-embracing AKHG, it’s all about the innovative gear and gadgets that equip customers for a more hands-on way of life. Top-notch quality, immersive storytelling, outstanding customer service, and the shared belief that the go-all-in-and-dig-deep spirit exists with everyone are what sets Duluth Trading Co. apart. We seek talented folks looking to be part of a can-do team that’s hellbent on helping the world to gear up, get its hands dirty, and do.

Requirements

Must-haves

Platform Engineering & Infrastructure
Own the architecture and operations of the enterprise data platform: ingestion (Fivetran, Airbyte), transformation (dbt), warehousing (BigQuery), 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
Master Data & Domain Architecture
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
Architecture & Technical Leadership
Define and evolve the data architecture roadmap in partnership with engineering leadership
Architect the integration between operational master data (Pimcore) and the analytical platform (BigQuery)
Set technical standards for data modeling, pipeline design, and platform integration
Evaluate and introduce new technologies that improve platform capability or reduce cost
Platform Roadmap & Stakeholder Partnership
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
Team Leadership
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
Cost & Operational Excellence

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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Platform: icims
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave