> Markdown version of [/jobs/ext/1453440-principal-solutions-architect](https://www.wearedevelopers.com/jobs/ext/1453440-principal-solutions-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Solutions Architect - **Company:** Vizient, Inc. - **Location:** Chicago, IL, United States - **Experience:** Expert - **Salary:** $156,500.0 - $290,100.0 - **Contract:** Permanent contract - **Skills:** Unity 3d, Artificial Intelligence, Amazon Web Services, Data Analysis, Architectural Patterns, Microsoft Azure, Cloud Computing, Cloud Database, Information Systems, Databases, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Warehousing, Enterprise Architecture Framework, Operational Data Store, Cloud Services, Azure Machine Learning, Systems Integration, Web Platforms, Enterprise Data Management, Large Language Models, Snowflake, Apache Spark, Generative AI, Togaf, Data Layers, Data Lakes, Information Technology, Machine Learning Operations, Physical Data Models, Data Pipelines, Databricks - **Published:** July 26, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/86031266/1 ## About the Role * High School diploma required; Bachelor's degree in Computer Science, Information Systems, or a related field preferred (Master's degree preferred). * 10 or more years of experience in architecture roles such as Enterprise Architect, Principal Solutions Architect, or equivalent. * Broad experience with large-scale database and data warehousing technologies such as Databricks or Snowflake, along with ETL, analytics, and cloud platforms. * Deep, hands-on experience with Databricks and Lakehouse architectures, including Delta Lake, Spark, and Unity Catalog. * Strong background in data engineering and analytics architecture, including medallion patterns and batch and streaming pipelines. * Experience integrating multiple data domains into cohesive, governed data products. * Expertise with cloud-native data platforms, preferably Microsoft Azure (AWS or GCP acceptable). * Strong understanding of data governance, security, lineage, and data quality, particularly in regulated environments. * Proven ability to influence across teams without direct authority and translate business needs into scalable architectural solutions. * Experience in healthcare or adjacent regulated domains such as clinical, claims, supply chain, or operations. * Hands-on experience designing semantic layers, metrics stores, or data product operating models. * Experience defining cross-domain KPIs, performance frameworks, or outcome-based analytics. * Strong background designing and implementing Generative AI and ML platforms at scale. * Knowledge of enterprise architecture frameworks such as TOGAF (certification preferred). * Exceptional visualization and storytelling skills for both technical and executive audiences. #LI-JB1 ## Description When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future., In this role, you will serve as a Principal Enterprise Solutions Architect, driving the architecture and development of large-scale digital platforms that support Vizient's data and analytics needs. You will champion platform thinking, design thinking, and innovative architectural practices while partnering closely with Product, Engineering, Data Science, and Business leaders. This role blends deep technical expertise with strategic influence, enabling scalable, secure, and AI-driven solutions that deliver long-term value for Vizient and its members., * Lead end-to-end solution architecture for complex, cross-domain analytical products spanning clinical, spend, and operational data. * Define and drive technical strategy for enterprise data and analytics platforms, aligning architectural decisions with business and organizational goals. * Develop high-level architectural blueprints and provide guidance on modern data stacks, including cloud data warehouses and AI/ML systems, with a strong focus on Databricks (Lakehouse, Delta Lake, Unity Catalog). * Analyze complex business problems by conducting research and assessments to identify opportunities and recommend actionable, scalable solutions. * Design robust data pipelines, ETL/ELT processes, and conceptual, logical, and physical data models to support analytical products. * Lead proofs of concept (POCs), evaluate technology vendors, and oversee implementation of complex, scalable data solutions. * Establish architectural patterns for data products, semantic layers, domain models, and cross-domain analytics. * Ensure architectures meet enterprise standards for scalability, performance, reliability, security, governance, data quality, and observability. * Drive adoption of AI/ML and Generative AI capabilities, including architectures leveraging RAG, embeddings, agents, and LLM orchestration. * Partner with Data Science and Engineering teams to operationalize ML and GenAI solutions using production-grade patterns. * Act as a trusted architectural advisor to Product, Engineering, Platform, and Business leaders, influencing roadmaps and investment decisions. * Balance strategic architecture with delivery-focused execution, enabling teams to move quickly without compromising long-term sustainability. * Produce clear architecture diagrams and technical documentation to communicate complex concepts to technical and executive stakeholders. * Support enterprise decision-making by articulating architectural trade-offs, risks, and long-term implications. ## Related Videos - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Reality and Beyond: Coding a Drone Using {Unity 3D .NET} and ChatGPT AI!](https://www.wearedevelopers.com/videos/702-reality-and-beyond-coding-a-drone-using-unity-3d-net-and-chatgpt-ai) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Coding an Immersive Copilot using Unity / .NET and Azure OpenAI!](https://www.wearedevelopers.com/videos/1204-coding-an-immersive-copilot-using-unity-net-and-azure-openai) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) ## Related Articles - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)