Senior IT Data Architect - #3003

Taylor, MI Corporate -- IT Full-time / Hybrid ::: {qa="job-description"} ### What We Offer: Our excellent salary and benefits package includes medical, dental, vision, life insurance, short and long-term disability coverage, education reimbursement, 401(k), performance bonuses, and an employee stock program. Employee Resource Groups and Programs offered include the Young Professionals Group, Women at Wade Trim, Diversity, Equity and Inclusion, Professional Development, Leadership Development, Mentor Program, Sustainability Program, and Wellness Program. ### Position Description: We are looking for a Senior IT Data Architect to join our IT team in Taylor, Michigan. Candidates must be able to work out of the Taylor, Michigan office and should have at least five years of experience in data architecture, data engineering, database design, enterprise application integration, or related data platform roles. Candidates should also have a bachelor's degree in data architecture, computer science, information systems, data science, engineering, or a related field with strong SQL and applicable data integration experience. A flexible, hybrid remote schedule is available after 30 days of employment. ::: ### Typical responsibilities include: ::: {qa="posting-requirements"} - Develop a roadmap for data projects in conjunction with the business units - Design and maintain enterprise data models, integration patterns, and architecture standards that unify data across Wade Trim databases and enterprise applications - Provide curated, governed, and model-ready datasets that support Development team solutions, Citizen Development initiatives, analytics, automation, AI, and model development - Collaborate with Data Engineers to define source-to-target mappings, data pipelines, semantic models, and reusable data assets - Translate business and application needs into scalable data architecture requirements, data models, and integration designs - Analyze structured and unstructured data sources to identify opportunities for standardization, consolidation, and reuse - Establish data quality expectations, validation rules, metadata standards, and lineage practices - Support dashboards, reports, applications, automations, and AI use cases by ensuring data is consistent, trusted, and accessible - Support development of repeatable data delivery and integration workflows - Develop data access protocols in conjunction with the business units - Maintain a safe working environment ::: ### Education: ::: {qa="posting-requirements"} - Bachelor's degree in Data Architecture, Computer Science, Information Systems, Data Science, Engineering, or related field is required ::: ### Skills/Experience ::: {qa="posting-requirements"} 10 years of experience in data management 5+ years of experience in data architecture, data engineering, database design, enterprise application i :::