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WD-40 Company

IT Data & Analytics Architect

WD-40 Company

IT Data & Analytics Architect leading transformation of data usage at WD-40 Company. Designing scalable data architecture and collaborating globally on analytics and AI initiatives.

Posted 6/18/2026full-timeRemote • 🇺🇸 United StatesSeniorLeadWebsite

Tech Stack

Tools & technologies
Cyber Security

About the role

Key responsibilities & impact
  • Define and maintain the global data architecture blueprint, including data models, SaaS integration patterns, and platform standards
  • Act as the technical design authority, providing architectural oversight and technical guidance to teams
  • Lead the selection, design, and evolution of the enterprise data platform
  • Establish and enforce standards for data accuracy, completeness, and traceability
  • Design the analytics and semantic layers for actionable insight and enable AI initiatives
  • Partner closely with the Cybersecurity COE to embed data protection principles
  • Serve as a trusted advisor to business and technology leaders

Requirements

What you’ll need
  • 10+ years of progressive experience in data architecture, data engineering, or analytics engineering roles
  • 5+ years of experience designing and governing enterprise data platforms in a global or multi-regional organization
  • Proven experience leading end-to-end delivery of large-scale, cross-functional data and analytics programs
  • Demonstrated experience building and managing data governance frameworks
  • Deep, hands-on architectural experience with the Microsoft Data Stack

Benefits

Comp & perks
  • A strong values-aligned organization where contributions are acknowledged and rewarded
  • A learning-based culture where 77% of our team believe they can achieve their career objectives
  • Over 95% employee engagement as of our most recent global employee survey
  • 91% of our people actively recommend WD-40 Company as a great place to work

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
data architecturedata modelsSaaS integration patternsenterprise data platformdata accuracydata completenessdata traceabilityanalytics designsemantic layersMicrosoft Data Stack
Soft Skills
technical design authorityarchitectural oversighttechnical guidancetrusted advisorleadershipcollaborationcommunication