Data/ Information Architect

Ford • Dearborn, MI

6d • Hybrid

About The Position

We made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.
Enterprise Technology plays a critical part in shaping the future of mobility. If you’re looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience and improve people’s lives, this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.
In this 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

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. Additional Data Architecture/Design skills may include:
• 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.

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

• Design and develop information data models including EDM, Conceptual, logical and physical data models for Industrial Systems. Manage and maintain the models in a Power Designer repository.
• Map Application to Conceptual Data Model, Business Process and Business Capability
• Support product team’s intake process, understanding business requirements, translating them into people, process, data and system requirements, applying data architectural principles, and providing expert guidance.
• Lead the discovery and analysis phase of Industrial Systems Data Platform, ensure a deep understanding of our data landscape and facilitate integration of diverse sources into a unified data model
• Provide data analytics guidance to product teams.
• Lead conceptual discussions to understand the organization's data landscape. Identify and evaluate candidate data sources, maintain data models and data dictionaries for all identified source systems. Develop and define Canonical Domain Models
• Profile source system data, define comprehensive data quality requirements, identify data quality dimensions and metrics. Provide guidance on data quality monitoring, measuring, reporting and addressing issues.
• Establish data architecture principles, data standards, best practices, and guidelines for the design of the data platform including data catalog, data lineage, observability, security and interoperability
• Perform proof of concepts and guide Product team members to design and develop using different 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: Mid Level
• Number of Employees: 5,001-10,000 employees