IT Data & Analytics Architect

WD-40 COMPANY•,

1d•Remote

About The Position

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.

Requirements

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 (Master Data Management) 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.

Responsibilities

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.
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.
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.
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.
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'.
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).
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.