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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Science Solution Architect I - **Company:** Adventist Health - **Location:** Roseville, CA, United States - **Experience:** Starter - **Salary:** $114,359.0 - $171,538.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Logic, Business Systems, Continuous Integration, Extract Transform Load (ETL), Database Design, General-Purpose Computing on Graphics Processing Units, Machine Learning, Productivity Software, Power BI, Cloud Services, Tensorflow, Cloud Platform System, Microsoft Fabric, Git Flow, Information Technology, Api Design, Data Pipelines, Databricks - **Published:** July 11, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=c15fedd81d8250bf ## About the Role Education and Work Experience: * Bachelor's in computer science, applied mathematics, statistics or equivalent combination of education/related experience: Required * Master's degree in data science: Preferred * Previous hands-on experience with Power BI & Microsoft Fabric semantic models: Preferred * Previous Practical experience with Git-based workflows for analytics assets: Preferred * Previous experience with Cloud platform expertise in Fabric, database design, data modeling, ETL/ELT pipelines, machine learning frameworks, GPU computing, and API design: Preferred ## Description This role is a hands-on specialist responsible for creating and maintaining a trusted, scalable semantic analytics foundation within Power BI and Microsoft Fabric. The Position has a hybrid focus on data science expertise with enterprise architecture skills to design and implement scalable, secure and business aligned data driven solutions. The position focuses on augmented analysis, enterprise-grade semantic modeling, and analytics CI/CD practices, while also building AI-powered productivity tools using Copilot CLI to improve how analytics assets are developed, documented, tested, and released. Ensures metrics are consistent, explainable, and ready for AI-assisted insight generation. This is not a management role; success comes from direct contribution, craftsmanship, and problem-solving., * Design a machine learning pipeline using Fabric and Databricks that ingests sensor data, trains predictive models, and deploys them via GPU-accelerated cloud services, ensuring scalability, security, and integration with existing business systems. * Design semantic models that are AI- and Copilot-ready, enabling: natural language exploration, automated variance and contribution analysis, narrative insights and explanations. Build reusable analysis patterns (trend drivers, productivity analysis, utilization, variance-to-plan, cohort views). * Build architectures that can handle growing data volumes, user loads, and computational demands, often with a 3-5 year forward-looking perspective. Implement version-controlled semantic models using Git-based workflows. Translate complex business logic into clear, reusable, and performant semantic definitions. * Partner with IT, engineers, and business leaders to align technical design with strategic objectives. Present technical concepts to non-technical stakeholders and document architecture decisions. Define and maintain deployment practices across development, validation, and production. * Build automated checks for: measure validity and dependencies, formatting and naming standards, refresh rules and performance heuristics. Produce clear change summaries and impact notes for model updates. Reduce production risks by making semantic changes predictable, traceable, and repeatable. Create well-structured: measures and calculation groups, business-friendly hierarchies, standardized naming and formatting conventions. * Performs other job-related duties as assigned. ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [Enabling intelligent logistics automation: home-grown Industrial IoT platform at Austrian Post](https://www.wearedevelopers.com/videos/2018-enabling-intelligent-logistics-automation-home-grown-industrial-iot-platform-at-austrian-post) ## Related Articles - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [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)