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Senior Solution Architect
Vizient, Inc. Lead end-to-end solution architecture for complex, cross-domain data, analytics, and AI products .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading end-to-end solution architecture for complex data, analytics, and AI products, with a strong focus on designing scalable architectures and integrating diverse data sources. Proficient in mentoring engineering teams and establishing architectural standards to ensure performance, reliability, and governance.
Highest-signal resume keywords
End-To-End Solution ArchitectureDatabricks LakehouseAI/ML Architecture DesignScalable Data ArchitecturesTechnical Documentation Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Solution ArchitectureData Architecture DesignPipelines DevelopmentSemantic LayersDomain ModelsData ProductsAI/ML CapabilitiesGenerative AIArchitecture DiagramsTechnical Documentation
Soft Skills
MentoringCollaborationInfluencing
Tools & Technologies
Delta LakeUnity Catalog
Industry Keywords
Data GovernanceData QualityObservabilityBusiness ContinuityPerformance
Tech Stack
Tools & technologiesUnity
About the role
Key responsibilities & impact- Lead end-to-end solution architecture for complex, cross-domain data, analytics, and AI products
- Define technical strategies and architectural blueprints for enterprise data and analytics platforms
- Design scalable data architectures, pipelines, semantic layers, domain models, and data products integrating clinical, spend, operational, and enterprise data
- Establish architectural patterns and standards for scalability, performance, reliability, security, governance, data quality, observability, and business continuity
- Evaluate technologies and vendors, lead proofs of concept, and recommend solutions
- Design architectures for AI/ML and Generative AI capabilities, including RAG, embeddings, agents, and large language model orchestration
- Partner with product, engineering, data science, platform, and business clients to translate requirements into production-ready solutions
- Influence technology roadmaps and investment decisions
- Guide engineering teams in adopting architectural standards, frameworks, tools, and reusable solutions
- Develop architecture diagrams, reference architectures, and technical documentation for technical and executive audiences
- Mentor engineering teams and advocate for consistent architecture practices across products and the enterprise
Requirements
What you’ll need- Experience leading end-to-end solution architecture for complex, cross-domain data, analytics, and AI products
- Expertise with Databricks Lakehouse, Delta Lake, and Unity Catalog
- Experience designing scalable data architectures, pipelines, semantic layers, domain models, and data products
- Knowledge of scalability, performance, reliability, security, governance, data quality, observability, and business continuity
- Experience evaluating technologies and vendors and leading proofs of concept
- Experience designing AI/ML and Generative AI architectures, including RAG, embeddings, agents, and large language model orchestration
- Ability to translate business and technical requirements into production-ready solutions
- Ability to develop architecture diagrams, reference architectures, and technical documentation
- Experience mentoring engineering teams and establishing architecture practices
Benefits
Comp & perks- Incentive eligible
- Comprehensive benefits plan
- Personal and professional development opportunities
- Inclusive work environment