Senior Solution Architect

Vizient • Edina, MN

5d

About The Position

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, with an emphasis on Databricks Lakehouse, Delta Lake, and Unity Catalog. Design scalable data architectures, pipelines, semantic layers, domain models, and data products that integrate clinical, spend, operational, and other 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 that support business priorities and long-term technology goals. Design architectures for AI/ML and Generative AI capabilities, including retrieval-augmented generation (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 and influence technology roadmaps and investment decisions. Guide engineering teams in adopting architectural standards, frameworks, tools, and reusable solutions while balancing delivery needs with long-term sustainability. Develop architecture diagrams, reference architectures, and technical documentation that clearly communicate designs, trade-offs, risks, and recommendations to technical and executive audiences. Mentor engineering teams and advocate for consistent architecture practices across products and the enterprise.

Requirements

• Databricks Lakehouse
• Delta Lake
• Unity Catalog
• AI/ML and Generative AI capabilities
• retrieval-augmented generation (RAG)
• embeddings
• agents
• large language model orchestration

Responsibilities

• 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, with an emphasis on Databricks Lakehouse, Delta Lake, and Unity Catalog.
• Design scalable data architectures, pipelines, semantic layers, domain models, and data products that integrate clinical, spend, operational, and other 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 that support business priorities and long-term technology goals.
• Design architectures for AI/ML and Generative AI capabilities, including retrieval-augmented generation (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 and influence technology roadmaps and investment decisions.
• Guide engineering teams in adopting architectural standards, frameworks, tools, and reusable solutions while balancing delivery needs with long-term sustainability.
• Develop architecture diagrams, reference architectures, and technical documentation that clearly communicate designs, trade-offs, risks, and recommendations to technical and executive audiences.
• Mentor engineering teams and advocate for consistent architecture practices across products and the enterprise.

Benefits

• Comprehensive benefits plan

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed