Data and Solution Architect

LiveWell Homecare Agency, LLC; Marysville (OH); On-site; USD 120,000 - 180,000; Full time

Job summary

LiveWell Homecare Agency, LLC is seeking a Data and Solution Architect to lead enterprise data architecture for scalable, responsible AI solutions in the AI Hub. The role focuses on designing AI-ready data models, governance standards, and data-flow architecture for AI/ML initiatives in a primarily on-site setting in Marysville, Ohio.

Candidates should have a bachelor’s degree and 8+ years in data or solution architecture, with strong expertise in data profiling, semantic modeling, governance,

Qualifications

• Bachelor’s degree in a related field.
• 8+ years of experience in data or solution architecture with AI/ML initiatives.
• Expertise in data profiling, governance, semantic modeling, and cloud or hybrid architectures.

Responsibilities

• Design AI‑ready data architectures that support AI, analytics, GenAI and Agentic AI use cases.
• Establish data standards and governance ensuring semantic consistency and compliance.
• Enable AI use cases and POCs by architecting data flows and readiness assessments.
• Develop and evaluate data platform integrations and onboarding of new sources.
• Provide leadership and mentorship in architecture reviews and best practices.

Skills

Data profiling

Governance

Semantic modeling

Cloud architectures

Hybrid architectures

Education

Bachelor's degree in related fields

Job description

We are seeking a Data and Solution Architect responsible for defining and advancing enterprise data architecture to support scalable, responsible AI solutions in the AI Hub.

• Design AI‑ready data architectures supporting AI, analytics, GenAI, and Agentic AI use cases, including data models and semantic structures.
• Establish data standards and governance, ensuring semantic consistency, responsible data usage, and compliance with legal and security requirements.
• Enable AI use cases and POCs by architecting data flows, sourcing activities, and AI readiness assessments across project phases.
• Develop and evaluate data platform integrations, onboard new data sources, and define architecture guardrails for various deployment models.
• Provide leadership and mentorship in architecture reviews, guide teams, and contribute to community standards and best practices.

Qualifications include a bachelor’s degree in related fields and over 8 years of experience in data or solution architecture, with proven support for AI/ML initiatives.

Skills required include expertise in data profiling, governance, semantic modeling, and cloud or hybrid architectures. The role involves onsite work with limited remote options and no visa sponsorship.