Sr. Data Solution Architect

Owens & Minor • Richmond, VA

20h • $155,000 - $160,000

About The Position

The Sr. Data Solutions Architect designs and advances Owens & Minor’s enterprise data and artificial intelligence architecture to enable scalable, secure, business-driven solutions. The role partners with business leaders, data engineers, application teams, security, infrastructure, and analytics stakeholders to define and implement modern data platforms, AI capabilities, and integration strategies that support decision-making and operational excellence.

The architect provides strategic guidance and technical leadership, aligning technology investments with business priorities and establishing scalable architecture standards and governance practices. The role combines architecture leadership with hands-on work, including solution design, architecture validation, proof-of-concept development, troubleshooting, implementation support, code and design-pattern reviews, and collaboration with engineering teams to deliver production-ready solutions.

The position also establishes governance for data and AI solutions, ensures alignment with privacy, security, regulatory, and compliance requirements, and communicates architecture roadmaps, risks, trade-offs, and recommendations to technical and non-technical audiences. The salary range is $155,000–$160,000 USD annually; actual compensation may vary based on experience, skills, education, and location.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, or a related field; an equivalent combination of education and experience may be considered.
• 10 or more years of experience in data architecture, enterprise architecture, analytics platforms, or software engineering.
• 3 or more years of experience 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.
• Demonstrated success leading complex enterprise technology initiatives.
• Experience working across multiple business functions and stakeholder groups.
• Experience with cloud-native architecture and modern data platforms.
• Experience leading large-scale cloud transformation initiatives.
• Hands-on experience with data architecture and modeling; data warehousing and lakehouse architecture; data integration and ETL/ELT architecture; cloud platforms (Azure preferred); Snowflake; Microsoft Fabric; semantic model creation; MLOps and AI governance platforms; Power BI; master data management; API and event-driven architectures; data governance and metadata management; Python; DevOps and CI/CD; Informatica IDMC; SQL and data engineering concepts; enterprise solution architecture; and AI and machine learning fundamentals.
• Hands-on experience with at least one or more of Claude Enterprise, OpenAI/Azure OpenAI, or Cortex.

Nice To Haves

• Master’s degree in Computer Science, Data Science, Artificial Intelligence, Information Systems, or a related field.
• Experience in healthcare, distribution, supply chain, or regulated industries.
• Snowflake SnowPro Advanced Certification.
• Microsoft Azure Solutions Architect Expert certification.
• Microsoft Azure AI Engineer Associate certification.
• Databricks Data Engineer or Data Architect certification.
• AWS Certified Solutions Architect certification.
• TOGAF Certification.
• Experience with Databricks.
• Experience with vector databases and semantic search.
• Experience with RAG architecture design.
• Experience with knowledge graphs.
• Experience in healthcare, medical distribution, supply chain, logistics, manufacturing, technology, data and analytics, artificial intelligence, or digital transformation.

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.
• Establish scalable, reusable architecture standards across platforms and technologies.
• Lead technical evaluations and recommend data, AI, and integration technologies.
• Contribute to the design and implementation of enterprise data and AI solutions.
• Develop prototypes, proofs of concept, and reference implementations to validate architectural approaches and emerging technologies.
• Partner with engineering teams to solve complex technical challenges and remove delivery roadblocks.
• Perform hands-on architecture validation, solution reviews, and technical troubleshooting throughout the software delivery lifecycle.
• Provide architectural leadership through delivery, demonstrating best practices in cloud platforms, data engineering, integration, automation, AI, and DevOps.
• Maintain current hands-on expertise with modern data and AI technologies, including Snowflake, Azure, Databricks, Microsoft Fabric, AI platforms, and integration frameworks.
• Provide architectural oversight for strategic initiatives and major technology investments.
• Lead design reviews and ensure adherence to enterprise architecture standards.
• Collaborate with engineering teams to translate architectural designs into implementable solutions.
• Establish architectural governance frameworks for data and AI solutions.
• Ensure alignment with privacy, security, regulatory, and compliance requirements.
• Define standards for data lineage, metadata management, model governance, and AI transparency.
• Identify and mitigate architectural, operational, and cybersecurity risks.
• Maintain architecture documentation, reference models, and technical standards.
• Develop executive-level architecture presentations and recommendations.
• Communicate technical concepts effectively to technical and non-technical audiences.
• Present architecture roadmaps, risks, trade-offs, and investment recommendations.
• Provide regular updates on strategic initiatives, architecture reviews, and innovation opportunities.
• Establish enterprise architecture standards for data and AI solutions and deliver scalable architecture designs supporting strategic business initiatives.
• Accelerate delivery of enterprise data and AI capabilities through practical architecture guidance and hands-on problem solving.
• Create and execute a roadmap for AI-based self-serve analytics.
• Increase adoption of enterprise data platforms and AI capabilities and improve consistency and governance across data and analytics ecosystems.
• Demonstrate measurable business value from AI and advanced analytics initiatives and reduce architectural complexity through standardization and modernization.
• Build credibility with engineering teams through technical leadership and direct contribution to successful solution delivery.

Benefits

• Medical, dental, and vision plans beginning on the first day of employment for full-time teammates.
• Educational assistance for eligible teammates enrolled in an approved, accredited collegiate program.
• Employer-paid life insurance and disability coverage.
• Voluntary supplemental insurance programs, including supplemental life, hospitalization, and critical illness coverage.
• Adoption assistance, fertility benefits through the medical plan, and parental leave.
• Health Savings Account (HSA) and 401(k) programs, plus other voluntary benefits.
• Sick days, short-term leave, holidays, vacation days, personal days, and other leave, including parental leave.
• Teammate Assistance Program (TAP), Calm Health, Cancer Resources Services, and discount programs at no cost.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior