Principal Solutions Architect – Master Data, Product Data, AI Automation

Job not on LinkedIn

🔥 17 minutes ago

⚔️ Virginia – Remote

⚔️ Virginia – Remote

💵 $10.6k - $18.5k / month

⏰ Full Time

🔴 Lead

💻 Solutions Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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Ferguson

WebsiteLinkedInAll Job Openings

10,000+ employees

🏗️ Construction

🏭 Manufacturing

📦 Logistics

Construction • Manufacturing • Logistics

Ferguson is a leading supplier of plumbing and HVAC products for residential and commercial markets. The company offers a wide range of products including water heaters, plumbing parts, and HVAC systems, as well as various tools and cleaning supplies. Ferguson provides solutions for professionals in the plumbing and HVAC industries, ensuring they have access to the resources and expertise they need for both new construction and remodeling projects.

📋 Description

• Define strategic architecture direction for enterprise master data capabilities, with emphasis on product data, data quality, AI automation, enrichment, and cross-reference solutions • Translate complex business, data, AI, and technical requirements into scalable solution designs, roadmaps, implementation guidance, and architecture guardrails • Lead architecture for product data models, hierarchies, taxonomies, mappings, transformations, validation rules, match and merge logic, and enrichment workflows • Shape responsible AI-enabled patterns that improve data quality, accelerate enrichment, automate repeatable analysis, and support human-in-the-loop review • Review solution architecture to ensure security, compliance, scalability, performance, reliability, maintainability, and operational support requirements are met • Provide technical leadership and mentorship to architects, engineers, analysts, product owners, and delivery teams • Identify architecture risks, gaps, dependencies, and trade-offs; recommend practical solutions balancing speed, quality, cost, supportability, and long-term sustainability • Partner with senior business and technology leadership, vendors, and third-party providers to evaluate capabilities, resolve complex issues, assess roadmaps, and align solutions to Ferguson’s master data and AI strategy

🎯 Requirements

• 12+ years of IT experience with significant depth in data architecture, solutions architecture, enterprise application architecture, or related disciplines • 7+ years of hands-on experience designing, implementing, or governing enterprise Master Data Management solutions • Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Management, or related field; equivalent experience may be considered • Deep expertise in master data architecture, including domain modeling, data quality, governance, hierarchy management, stewardship, matching, merging, survivorship, and integration patterns • Experience with major MDM platforms such as Stibo Systems, Informatica MDM, Reltio, SAP MDG, Semarchy, or similar platforms • Experience with modern cloud data, analytics, and AI platforms, including Databricks Lakehouse, Databricks AI/BI capabilities such as Genie, Claude or similar generative AI tools, Azure Data Factory, Azure Data Lake, cloud storage, SQL and NoSQL platforms, APIs, and modern integration patterns • Good experience with product data capabilities, including product information management, enrichment, classification, cross-reference, catalog data, and item setup • Practical experience applying AI, machine learning, generative AI, or automation to improve data quality, enrichment, classification, validation, matching, or operational workflows • Proven Principal-level ability to define target-state architecture, influence senior leaders, solve complex problems, mentor technical teams, and deliver scalable architecture strategies • Experience in wholesale, distribution, eCommerce, or other product-data-intensive industries is preferred • Experience with product data governance operating models, stewardship workflows, data ownership models, and measurable data quality programs is preferred • Experience shaping responsible AI patterns, human-in-the-loop review models, AI evaluation approaches, and operational controls for AI-enabled data processes is preferred • Relevant certifications such as Azure Solutions Architect Expert, Databricks, data architecture, cloud architecture, or similar are a plus

🏖️ Benefits

• Health insurance • Dental insurance • Vision insurance • Paid time off • Life insurance • 401(k) with a company match • Mental health coverage • Gender affirming benefits • Family building benefits • Paid parental leave • Associate discounts • Community involvement opportunities • Bonus or Incentive Plan eligibility