ironquill.tech/board

$ cat jobs/solution-architect-data-remote-us-atmosera-27dce2d84af1.json

Solution Architect, Data (Remote US)

atmosera·US·United States·senior
azuredevops
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Atmosera empowers businesses to redefine what's possible with modern technology and human expertise. Our exceptional experience across Applications, Data & AI, DevOps, Security, and the Microsoft Azure platform enables organizations to accelerate innovation, enhance security, and optimize operational agility. As a Microsoft Partner with seven specializations, GitHub AI Partner of the Year, a member of the GitHub Advisory Board, and a member of the prestigious Microsoft Intelligent Security Association (MISA), Atmosera expertly delivers cutting-edge, integrated solutions that deliver business value. We are seeking a highly consultative, client-facing Solution Architect specializing in A zure Data Platform to serve as a technical pre-sales leader within our Data practice. This role is centered on data architecture leadership, helping clients define and realize modern data platforms, integration patterns, data modeling standards, and governance foundations on Azure. AI is an important part of our offerings, and this role ensures the data architecture is designed to enable analytics and AI solutions responsibly at scale. This is a high-impact role where you will partner closely with sales teams to lead discovery, solution design, and deal shaping activities , guiding clients from early-stage conversations through proposal, estimation, and successful deal closure. You will bring deep expertise across the Azure Data Platform to design scalable, secure, and governed data solutions. You will translate complex technical concepts into clear business value—connecting data strategy, platform choices, operating model, and delivery approach. You will also help clients understand how strong data foundations accelerate successful analytics and AI adoption in production. Responsibilities Technical Pre-Sales Leadership & Data Discovery Lead client-facing discovery sessions to understand business drivers, domain context, data products/use cases, and platform constraints. Assess curren

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