Senior Data Solution Architect

Owens & Minor

. Design end-to-end enterprise data and AI solution architectures .

Posted 10/22/2026full-timeRemote • United StatesSenior💰 $155,000 - $160,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing enterprise data and AI solutions, with a strong focus on architecture patterns, data governance, and cloud-native technologies. Proven ability to lead complex technology initiatives and collaborate effectively across multiple business functions.

Highest-signal resume keywords

Data ArchitectureAI Solution DesignCloud-Native ArchitectureData GovernanceEnterprise Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data IntegrationETL/ELT ArchitectureData WarehousingMachine LearningPythonSQLMLOpsData EngineeringSemantic Model CreationAI Fundamentals

Soft Skills

Technical LeadershipCollaborationCommunicationProblem-SolvingStakeholder Engagement

Tools & Technologies

SnowflakeAzureDatabricksMicrosoft FabricPower BIInformatica IDMCAPI ArchitectureEvent-Driven ArchitectureDevOpsCI/CD

Certifications & Qualifications

Snowflake SnowPro AdvancedMicrosoft Azure Solutions Architect ExpertMicrosoft Azure AI Engineer AssociateDatabricks Data EngineerAWS Certified Solutions Architect

Industry Keywords

HealthcareSupply ChainDistributionRegulated IndustriesGenerative AI

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityETLInformaticaPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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