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

Ferguson

. Define strategic architecture direction for enterprise master data capabilities, with emphasis on product data, data quality, AI automation, enrichment, and cross-reference solutions .

Posted 10/13/2026full-timeRemote • Virginia • United StatesLead💰 $10,595 - $18,536 per monthWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Master Data Management, data architecture, and AI-enabled solutions, with a focus on data quality, governance, and scalable architecture strategies. Proven ability to lead technical teams, mentor professionals, and influence senior leadership in complex data environments.

Highest-signal resume keywords

Master Data Management SolutionsData ArchitectureAI AutomationCloud Data PlatformsProduct Data Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data QualityDomain ModelingHierarchy ManagementIntegration PatternsData ValidationMatching and MergingGenerative AIData EnrichmentProduct Information ManagementOperational Workflows

Soft Skills

Technical LeadershipMentorshipProblem SolvingCollaborationInfluencing Senior Leaders

Tools & Technologies

Stibo SystemsInformatica MDMReltioSAP MDGDatabricks LakehouseAzure Data FactoryAzure Data LakeSQLNoSQLAPIs

Certifications & Qualifications

Azure Solutions Architect ExpertDatabricks CertificationData Architecture CertificationCloud Architecture Certification

Industry Keywords

WholesaleDistributionECommerceProduct-Data-Intensive IndustriesData Governance Operating Models

Tech Stack

Tools & technologies

AzureCloudInformaticaNoSQLSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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