> Markdown version of [/jobs/ext/1972113-principle-data-solution-architect](https://www.wearedevelopers.com/jobs/ext/1972113-principle-data-solution-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). --- # Principle Data & Solution Architect - **Company:** Apptad Inc. - **Location:** Frisco, TX, United States - **Salary:** $124,200.0 - $175,800.0 - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Artificial Intelligence, Business Analytics Applications, Data Analysis, Microsoft Azure, Cloud Computing, Data Architecture, Data Files, Data Governance, Data Security, MicroStrategy, Power BI, Tableau (Software), Qliksense, Delivery Pipeline, Large Language Models, Grafana, Git, Data Layers, Microsoft Fabric, Data Lineage, Collibra, Data Pipelines - **Published:** August 7, 2026 - **Apply:** https://www.careerjet.com/jobad/us762243575091730e18762d8653fc5a78 ## About the Role Microsoft Fabric (OneLake, Lakehouse, Direct Lake) Power BI & Semantic Modeling DAX, Composite Models, Aggregation Tables Dataflows Gen2 & Data Pipelines XMLA Endpoints & Tabular Editor Deployment Pipelines & Git Integration RLS, OLS & Dataset Certification Data Governance (Microsoft Purview, Alation, Collibra) SOX Compliance & Data Lineage Tableau, Qlik Sense, MicroStrategy & Grafana Integration Azure OpenAI / Anthropic Claude / AI-LLM Integration Enterprise Data Architecture & Stakeholder Management Preferred Experience * 12 15 years in Data Architecture, BI, Analytics Engineering, or Microsoft Fabric solutions. * Strong experience designing enterprise semantic layers and modern analytics platforms. * Ability to drive architecture decisions and lead cross-functional technical discussions. ## Description * Architect and own enterprise semantic models using Microsoft Fabric, OneLake, and Power BI. * Design Direct Lake, Composite Models, and enterprise-grade semantic layer solutions. * Implement governance, Dataset Certification, RLS/OLS, and SOX-compliant data security. * Define best practices for DAX, deployment pipelines, Git integration, XMLA endpoints, and Tabular Editor. * Integrate Fabric semantic models with Tableau, Qlik Sense, MicroStrategy, Grafana, Excel, and AI/LLM platforms such as Anthropic Claude and Azure OpenAI. * Collaborate with business leaders and stakeholders to deliver scalable, governed analytics solutions., Horace Mann is seeking an experienced and forward-thinking Domain Managing Architect - Cloud to lead our cloud strategy and execution across the enterprise. The ideal candidate wil… + 1 month ago ## Related Videos - [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) - [5 steps for running a Kubernetes environment at scale](https://www.wearedevelopers.com/videos/88-5-steps-for-running-a-kubernetes-environment-at-scale) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [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) - [All your telemetry data from any source in one place](https://www.wearedevelopers.com/videos/57-all-your-telemetry-data-from-any-source-in-one-place) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [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) - [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) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j)