Senior Data & AI Solutions Architect - Cloud & Governance

Owens & Minor; Virginia Beach (VA); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Comprehensive healthcare plan

Employer-paid life insurance

Adoption assistance

Health Savings Account (HSA)

401(k)

Job summary

Responsibilities include architecture governance, solution design, and hands-on reviews, with focus on modern data platforms and AI tooling across Snowflake, Azure, Databricks, and more.

Qualifications

• Bachelor's degree or higher in Computer Science, Information Systems, Data Science, Engineering, or related field.
• 10+ years of experience in data architecture, enterprise architecture, analytics platforms, or software engineering.
• 3+ years designing AI, machine learning, or advanced analytics solutions.
• Experience defining Enterprise AI strategies and governance programs.
• Experience with Generative AI, LLMs, RAG architectures, AI agents, and AI orchestration frameworks.
• Experience with cloud-native architecture and modern data platforms.
• Experience leading large-scale cloud transformation initiatives.

Responsibilities

• Design end-to-end enterprise data and AI solution architectures.
• Define architecture patterns for data ingestion, transformation, storage, analytics, machine learning, and generative AI use cases.
• Lead technical evaluations and recommendations for data, AI, and integration technologies.
• Develop prototypes, proofs of concept, and reference implementations.
• Provide architectural leadership across cloud platforms, data engineering, integration, automation, AI, and DevOps.
• Maintain hands-on expertise with Snowflake, Azure, Databricks, Microsoft Fabric, and related tools.

Skills

Data architecture

Cloud platforms

AI technologies

Leadership/mentoring

Solution design

Communication

Education

Bachelor's degree in CS/IS/Engineering

Master's degree in related field

Tools

Snowflake

Azure

Databricks

Microsoft Fabric

AI platforms

Integration frameworks

Job description

Responsibilities include architecture governance, solution design, and hands-on reviews, with focus on modern data platforms and AI tooling across Snowflake, Azure, Databricks, and more.