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Job type
Full-time
Work mode
Hybrid
Level
Senior
Department
Information Technology
Experience
5+ years experience
Posted
Aug 19, 2026
About the role
Typical responsibilities include:
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:
Bachelor’s degree in Data Architecture, Computer Science, Information Systems, Data Science, Engineering, or related field is required
Skills/Experience
10 years of experience in data management
5+ years of experience in data architecture, data engineering, database design, enterprise application integration, or related data platform roles
Strong SQL, data modeling, database design, and data integration experience is required
Experience with Azure and Microsoft Fabric is required
Experience with SQL and NoSQL databases is required
Experience with Enterprise Data Architecture is required
Experience with Data Modeling, Semantic Modeling & Integration Design is required
Experience with Business and Application Data Requirements Translation is required
Understanding of data pipelines, semantic models, APIs, ETL/ELT patterns, and model-ready data preparation is required
Strong communication skills with the ability to explain data architecture concepts to technical and non-technical stakeholders is required
Cross-Functional Collaboration is required
Strategic Thinking & Problem Solving is required
Exposure to the Architecture, Engineering, and Construction (AEC) industry is preferred
