Data / Information Architect

Ford Motor • Dearborn, MI

23h • Hybrid

About The Position

We are seeking an experienced Data/Information Architect to provide data architecture for Ford Motor Company's Industrial Systems (IS) Data Strategy. As a Data/Information Architect, you'll be responsible for designing and implementing a robust and scalable data strategy based on data-centric principles. You will also guide the implementation of the IS data Platform. You will collaborate with stakeholders and product teams to define data domains, onboard source systems, create data models, ensure data quality, map source to domain, assist in creating contracts, and provide architectural guidance for the implementation of the IS data platform. You will also maintain changes to the Enterprise Data Model (EDM) and IS Conceptual Data Model. The ideal candidate possesses a comprehensive understanding of data architecture principles, practical data modeling experience, and a solid grasp of data-centric architecture. Based in Dearborn, MI, this is a hybrid position with a required four-day onsite presence each week. Relocation assistance may be available for qualified candidates.

Requirements

• 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

Nice To Haves

• Master’s degree in Computer Science, Data Analytics, Information Systems or similar field.
• Strong collaboration, people skills and communication expertise.
• Experience influencing/ guiding product teams in data analytics.
• Experience in defining and implementing data quality initiatives.
• Expertise in interoperability standards and methods
• Outstanding and proven leadership skills in working with senior-level management helping in decision-making.
• Demonstrated ability to work on multiple projects simultaneously.
• Strong ability to self-manage and develop work plans that employ appropriate methods to resolve ambiguity and build consensus for an architectural solution

Responsibilities

• 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior