Senior Data Architect - Cloud Data & Governance (Contract)

Stefanini Group; Dearborn (MI); On-site; USD 95,000 - 102,000; Full time

Job summary

Stefanini Group is seeking a Data Architect in Dearborn, MI on a long-term contract. The role focuses on translating business needs into data solutions, defining modeling standards, and guiding governance across data domains.

Candidates with strong data warehousing, governance, and platform experience are preferred. Collaborate with product, analytics, and IT teams to align data strategy with business goals; contribute to architecture directions, and lead initiatives across data, application,

Qualifications

• Experience in data architecture, data governance, and data modeling.
• Strong understanding of data warehousing concepts and analytics-ready data structures.
• Experience with data management and data quality initiatives is a plus.

Responsibilities

• Provide direction by translating business capabilities into well-defined data projects and programs.
• Visualize architecture concepts and communicate strategies across programs and domains.
• Lead governance discussions with business sponsors and IT leaders to ensure alignment.
• Develop and approve future-state architecture standards, blueprints, and roadmaps.
• Drive architecture-related research to mature standards, guidelines, and patterns.

Skills

Data Architecture

Data Analysis

Data Integrity

Data Governance

Data Modeling

Data Warehousing

Database - Other

Data Management

Data Models

Education

Bachelor's degree

Certification program

Tools

PowerDesigner

Job description

Stefanini Group is seeking a Data Architect in Dearborn, MI on a long-term contract. The role focuses on translating business needs into data solutions, defining modeling standards, and guiding governance across data domains.

Candidates with strong data warehousing, governance, and platform experience are preferred. Collaborate with product, analytics, and IT teams to align data strategy with business goals; contribute to architecture directions, and lead initiatives across data, application,