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Ford Motor Company

Data, Information Architect

Ford Motor Company

Data/Information Architect at Ford working on Industrial Systems Data Strategy. Responsibilities include data architecture design and implementation for scalable data solutions.

Posted 7/16/2026full-timeDearborn • Missouri • 🇺🇸 United StatesSeniorLead💰 $86,600 - $166,200 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in Data Architecture and Engineering, with a strong focus on designing and implementing data models and strategies for Industrial Systems. Proficient in GCP technologies and data management principles, ensuring high-quality data integration and governance.

Highest-signal resume keywords
Data ArchitectureData EngineeringGCP TechnologiesData ModelingMaster Data Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data Architecture PrinciplesData ModelingOLTP/RDBMS DatabasesData WarehouseData MartsData Quality RequirementsData Dictionary DevelopmentData IntegrationSemantic Layer ModelingProof-of-Concept Development
Soft Skills
ConsultationCollaborationGuidanceProblem SolvingCommunication
Tools & Technologies
Power DesignerGCPBig QueryAlloy DBPostgreSQLCloud RunMongo DBData FlowPLM PlatformsDAMA Architecture Framework
Industry Keywords
Data StrategyEnterprise Data ModelsData LandscapeData GovernanceTOGAF

Tech Stack

Tools & technologies
BigQueryCloudGoogle Cloud PlatformMongoDBPostgresRDBMS

About the role

Key responsibilities & impact
  • Provide consultation and data-strategy support for IS initiatives.
  • Run EA IS Data Strategy Office Hours and provide guidance on data challenges.
  • Partners closely with the EDP team—understand their roadmap and share relevant updates with IS EA architects.
  • Design and develop information/data models (enterprise, conceptual, logical, and physical) for Industrial Systems; manage and maintain models in a Power Designer repository.
  • Map applications to the conceptual data model, business processes, and business capabilities.
  • Support product-team intake: translate use cases into data requirements and provide expert architecture guidance and designs.
  • Lead discovery, onboarding, and analysis of sources into Industrial Systems Data Platform (ISDP); build deep understanding of the data landscape and enable integration of diverse sources into ISDP.
  • Lead conceptual discussions to understand the data landscape; identify and evaluate candidate data sources; maintain data models and data dictionaries for identified source systems; and develop canonical domain models.
  • Profile source-system data; define data-quality requirements, dimensions, and metrics; and guide monitoring, measurement, reporting, and issue remediation.
  • Establish data-architecture principles, standards, best practices, and guidelines for the data platform (catalog, lineage, observability, security, interoperability).
  • Perform proof-of-concepts and guide product teams in designing and developing solutions using GCP data-engineering technologies and tools.

Requirements

What you’ll need
  • Bachelor of Computer Science, Information Systems, Systems Programming or equivalent combination of relevant education and experience
  • 8+ years overall IT experience.
  • 5+ years of Data Architecture, Data Engineering, or advanced Database Design/Modeling experience in designing or implementing OLTP/RDBMS databases, Data Warehouse, Data Marts.
  • Knowledge of Master Data Management concepts and tools
  • Functional and Architecture Experience with one or more PLM platforms (e.g., Siemens’ Teamcenter, Dassault’s 3D Experience)
  • Knowledge of TOGAF, DAMA Architecture Framework and Standards
  • Ability to define data architecture principles, guidelines and standards
  • 4+ years of hands-on experience creating data models using data modeling tools (e.g. Power Designer)
  • 2+ years of experience in GCP technologies including Big Query, Alloy DB, PostgreSQL, Cloud Run, Mongo DB, Data Flow. Similar cloud experience may be acceptable.
  • Understanding and knowledge of AI capabilities and modeling semantic layer for a data platform.

Benefits

Comp & perks
  • Immediate medical, dental, vision and prescription drug coverage
  • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up childcare and more
  • Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
  • Vehicle discount program for employees and family members and management leases
  • Tuition assistance
  • Established and active employee resource groups
  • Paid time off for individual and team community service
  • A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
  • Paid time off and the option to purchase additional vacation time.