Senior Data Solution Architect
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Job Description
Sr. Data Solution Architect advancing Owens & Minor’s healthcare data, AI, and cloud architecture. Designing governed enterprise platforms and guiding hands-on implementation across engineering teams.
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 and reusable architecture standards across platforms and technologies
- Lead technical evaluations and recommendations for 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
- 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 across cloud platforms, data engineering, integration, automation, AI, and DevOps
- Maintain hands-on expertise with 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 to technical and non-technical audiences
- Present architecture roadmaps, risks, trade-offs, and investment recommendations
- Provide updates on strategic initiatives, architecture reviews, and innovation opportunities
- Create and execute a roadmap for AI-based self-serve analytics
- Increase adoption of enterprise data platforms and AI capabilities
- Improve consistency and governance across data and analytics ecosystems
- Demonstrate measurable business value from AI and advanced analytics initiatives
- Reduce architectural complexity through standardization and modernization
- Build credibility with engineering teams through technical leadership and direct contribution to solution delivery
Requirements:
- Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or related field
- Equivalent combination of education and experience may be considered
- 10+ years of experience in data architecture, enterprise architecture, analytics platforms, or software engineering
- 3+ 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
- Required hands-on experience with data architecture and modeling
- Required experience with data warehousing and lakehouse architecture
- Required experience with data integration and ETL/ELT architecture
- Experience with cloud platforms, with Azure preferred
- Experience with Snowflake
- Hands-on experience with at least one or more of Claude Enterprise, OpenAI/Azure OpenAI, or Cortex
- Experience with Microsoft Fabric
- Semantic Model creation
- Experience with MLOps and AI governance platforms
- Experience with Power BI
- Experience with Master Data Management
- Experience with API and event-driven architectures
- Experience with data governance and metadata management
- Python
- DevOps and CI/CD
- Informatica IDMC
- SQL and data engineering concepts
- Enterprise solution architecture
- AI and machine learning fundamentals
- Preferred: Master's degree in Computer Science, Data Science, Artificial Intelligence, Information Systems, or related field
- Preferred experience in healthcare, distribution, supply chain, or regulated industries
- Preferred certifications: Snowflake SnowPro Advanced, Microsoft Azure Solutions Architect Expert, Microsoft Azure AI Engineer Associate, Databricks Data Engineer or Data Architect, AWS Certified Solutions Architect, or TOGAF
- Preferred experience with Databricks, vector databases and semantic search, RAG architecture design, and knowledge graphs
Benefits:
- Comprehensive healthcare plan including medical, dental, and vision plans starting on day one 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 life, hospitalization, critical illness, and other insurance programs
- Adoption assistance
- Fertility benefits through the medical plan
- Parental leave
- Health Savings Account (HSA)
- 401(k)
- Paid sick days, short-term leave, holidays, vacation days, personal days, and additional types of leave
- Teammate Assistance Program (TAP)
- Calm Health
- Cancer Resources Services
- Discount programs
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