IT Data & Analytics Architect

WD-40 Company (UK); United States; On-site; USD 155,000 - 170,000; Full time

Benefits offered by this job

Medical insurance, 80-95% company-paid premium

401K match

Short-day Fridays

Vacation

Job summary

WD-40 Company (UK) is seeking an IT Data & Analytics Architect to lead the transformation of data across our business. This remote role allows collaboration with global teams and focuses on designing scalable, cloud-based solutions. The ideal candidate will have extensive experience in data architecture and will play a critical role in our data governance and AI initiatives.

The position offers a competitive base salary of $155,000 – 170,000 annually, plus profit-sharing and a comprehensive benefits package including medical, dental, and 401K matching.

Qualifications

• 10+ years of experience in data architecture, data engineering, or analytics engineering roles.
• 5+ years of experience designing enterprise data platforms in a complex environment.
• Proven experience leading cross-functional data and analytics programs.

Responsibilities

• Define and maintain the global data architecture blueprint.
• Lead the design and evolution of the enterprise data platform.
• Establish standards for data accuracy and completeness.

Skills

Data architecture

Cloud data platforms

Data governance

AI and Machine Learning

Tools

Microsoft Data Stack

Job description

Join us as an IT Data & Analytics Architect and lead the transformation of how data powers our business. In this role, you’ll design the blueprint that brings our data to life, making it easier to find, trust, and use in meaningful ways across our business. You’ll collaborate with teams around the world to create thoughtful and scalable solutions that support both local needs and global consistency. Along the way, you’ll help us build a future where modern, cloud-based data and AI work hand in hand to move us forward.

This role can be performed remotely from anywhere in the U.S., with a preference for candidates located near our San Diego office.

Applicants must be authorized to work for any employer in the U.S. and should not require sponsorship now or in the future to legally work in the U.S.

What You’ll Be Doing

• Enterprise Data Architecture Design & Governance: 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 the Data & Analytics Manager and engineering teams during execution.
• Data Platform Strategy & Cloud Infrastructure: Lead the selection, design, and evolution of the enterprise data platform (cloud data warehouses, lakehouses). Design scalable integration architectures capable of ingesting high-volume data from a complex, decentralized enterprise SaaS ecosystem.
• Data Quality, Master Data Management (MDM) & Lineage: Establish and enforce standards for data accuracy, completeness, and traceability to build reliable outputs. Ensure semantic consistency so that LLMs and AI agents can accurately interpret business definitions without hallucination.
• Analytics, BI, & Machine-Consumable Data Enablement: Design the analytics and semantic layers that translate raw data into actionable insight for human leaders (BI tooling) while simultaneously designing the API frameworks and "Data-as-a-Service" architectures required for AI agents to securely query and act upon enterprise data.
• AI, Machine Learning & Advanced Analytics Integration: Architect the infrastructure, data pipelines, and semantic layers required to support predictive modeling, Generative AI, and Agentic AI initiatives. Design patterns for Retrieval-Augmented Generation (RAG), vector databases, and unstructured data cataloging to ensure the ecosystem is fully 'AI-ready'.
• Data Security, Privacy & Regulatory Compliance: Partner closely with the Cybersecurity COE to embed data protection principles—including Zero Trust access controls (for both human users and non-human AI service accounts), data classification, and retention policies—into every layer of the architecture, ensuring compliance with global regulations (GDPR, CCPA).
• Stakeholder Engagement, Roadmap Planning & Technology Innovation: Serve as a trusted advisor to business and technology leaders, translating strategic priorities into a forward-looking data and analytics roadmap for global stakeholders, and ensures the architecture evolves in step with business growth and market change.

What You’ll Bring To The Role

• 10+ years of progressive experience in data architecture, data engineering, or analytics engineering roles, with demonstrated growth from hands‑on technical delivery to enterprise‑wide architectural ownership.
• 5+ years of experience designing and governing enterprise data platforms in a global or multi‑regional organization, with direct exposure to the complexity of operating across multiple regions, regulatory environments, and business cultures.
• Proven experience leading end‑to‑end delivery of large‑scale, cross‑functional data and analytics programs including platform migrations, MDM implementations, and BI modernization initiatives spanning multiple systems and geographies.
• Demonstrated experience building and managing data governance frameworks, including data quality programs, stewardship models, metadata management, and policy enforcement at enterprise scale.
• Deep, hands‑on architectural experience with the Microsoft Data Stack.

Total Rewards

$155,000 – 170,000 / year base salary plus 10% – 15% profit‑sharing contribution to your retirement account. Salary is determined by multiple factors including relevant experience, knowledge, skills, other job‑related qualifications, and alignment with market data.

• Medical insurance, 80‑95% company‑paid premium
• Dental and vision insurance
• 401K match
• Short‑day Fridays
• Vacation

All qualified applicants will receive consideration for employment without regard to individual characteristics that make us unique such as our backgrounds, experiences, qualities, talents, traits, beliefs, and preferences.