Data and Solution Architect

Vetted Solutions; Marysville (OH); On-site; USD 120,000 - 170,000; Full time

Job summary

Vetted Solutions is seeking a Data and Solution Architect to define and advance enterprise data architecture supporting AI/ML, Generative AI, and advanced analytics. The role involves designing scalable data platforms, models, and standards aligned with governance, security, and compliance.

The architect will lead data flows, sourcing, and architecture stages from POC to production, and mentor junior staff while participating in community standards.

Qualifications

• Bachelor's degree in Computer Science or related field.
• 8+ years in data architecture.
• Experience supporting AI/ML initiatives.

Responsibilities

• Define and advance enterprise data architecture for AI/ML, Generative AI, and analytics.
• Design logical, physical, and semantic data architectures; develop AI-ready data models.
• Support data governance, security, and compliance; enable explainable AI.

Skills

Collaboration

Governance

Data Quality

Communication

Education

Bachelor's degree in Computer Science or related field

Job description

We are seeking a Data and Solution Architect to define and advance enterprise data architecture supporting AI/ML, Generative AI, and advanced analytics.

This role involves designing scalable, trusted data platforms, models, and standards aligned with data governance, security, and compliance requirements.

Key responsibilities include leading the design of logical, physical, and semantic data architectures, defining AI‑ready data models, and supporting data governance and semantics to enable explainable AI.

The architect will support AI use cases by designing data flows, guiding data sourcing, and managing architecture stages from POC to production.

They will architect integrations across systems, evaluate new data sources, and develop reference architectures for various deployment models.

The position requires serving as an authority on data architecture, mentoring junior staff, and participating in community standards and review forums.

Qualifications include a bachelor’s in Computer Science or related fields, 8+ years in data architecture, and experience supporting AI/ML initiatives.

Strong Collaboration, Governance, And Data Quality Skills Are Essential.

This is an onsite role with limited remote flexibility and no visa sponsorship available.