Senior IT Data Architect

Wade Trim•Detroit, MI

2d•Hybrid

About The Position

We are looking for a Senior IT Data Architect to join our IT team in Detroit. Candidates 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.

Requirements

At least five years of experience in data architecture, data engineering, database design, enterprise application integration, or related data platform roles
Bachelor's degree in data architecture, computer science, information systems, data science, engineering, or a related field
Strong SQL and applicable data integration experience
Strong SQL, data modeling, database design, and data integration experience
Experience with Azure and Microsoft Fabric
Experience with SQL and NoSQL databases
Experience with Enterprise Data Architecture
Experience with Data Modeling, Semantic Modeling & Integration Design
Experience with Business and Application Data Requirements Translation
Understanding of data pipelines, semantic models, APIs, ETL/ELT patterns, and model-ready data preparation
Strong communication skills with the ability to explain data architecture concepts to technical and non-technical stakeholders
Cross-Functional Collaboration
Strategic Thinking & Problem Solving

Nice To Haves

Exposure to the Architecture, Engineering, and Construction (AEC) industry

Responsibilities

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