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[Remote] IT Data & Analytics Architect

Work from home Full-time role Hiring

Note: The job is a remote job and is open to candidates in USA. WD-40 Company is seeking an IT Data & Analytics Architect to lead the transformation of how data powers their business. The role involves designing the data architecture blueprint, collaborating globally to create scalable solutions, and ensuring data quality and compliance.

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

Skills

  • 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

Benefits

  • A strong values-aligned organization where contributions are acknowledged and rewarded, and where 91% of our employees experience a sense of belonging.
  • 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.

Company Overview

  • WD-40 Company is a manufacturer and distributor of household chemical products. It was founded in 1953, and is headquartered in San Diego, California, USA, with a workforce of 501-1000 employees. Its website is https://www.wd40company.com/.
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