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 data utilization within the organization. This role involves designing a comprehensive data architecture, collaborating with global teams, and ensuring compliance with data governance and security standards.
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
- Hands-on, production experience with Microsoft Fabric is required
- 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
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