{"schemaVersion":"jobsearcher.job.v1","id":"32e543ab34344ce19f47fc52","url":"https://jobsearcher.com/jobs/32e543ab34344ce19f47fc52","canonicalUrl":"https://jobsearcher.com/jobs/32e543ab34344ce19f47fc52","title":"Solution Architect, Data (Remote US)","description":"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.\n\nWe are seeking a highly consultative, client-facing Solution Architect specializing in Azure 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.\nThis 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.\nYou 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.\nResponsibilities\nTechnical Pre-Sales Leadership & Data Discovery\nLead client-facing discovery sessions to understand business drivers, domain context, data products/use cases, and platform constraints.\nAssess current-state data architecture and maturity across ingestion, integration, storage/compute, data quality, metadata, lineage, security, and governance.\nIdentify opportunities to modernize data estates (cloud, lakehouse/warehouse, medallion, integration patterns) and improve time-to-value for analytics.\nTranslate business challenges into data architecture solution options, including the data foundations required to enable AI/ML and GenAI initiatives.\nSolution Architecture & Scoping\nArchitect end-to-end Azure data platform solutions, including:\nModern data platforms (Microsoft Fabric, Synapse, Databricks, ADLS)\nData integration and orchestration (ADF, Fabric pipelines), including patterns for batch, streaming, and CDC\nData modeling (conceptual/logical/physical), semantic modeling, and BI enablement (Power BI)\nSecurity, governance, and platform operations (RBAC, networking, encryption, monitoring, cost management)\nData quality, catalog/metadata, lineage, and master/reference data considerations\nDefine how analytics and AI will consume and be governed by the data platform, including:\nAI/ML and GenAI enablement patterns (feature/serving, vector search, RAG data pipelines) using Azure Machine Learning and Azure OpenAI as needed\nResponsible AI and data controls (privacy, sensitivity labels, access patterns, auditability)\nDefine solution scope, delivery approach, and assumptions.\nDevelop Statements of Work (SOWs), proposals, and platform estimates, ensuring alignment to client goals, timelines, and budgets.\nData Strategy, Governance & Enablement\nGuide clients on data strategy and target-state architecture, including data product thinking, operating model, and a pragmatic modernization roadmap.\nDefine patterns for governance (policies, stewardship, catalog/metadata, lineage), security, privacy, and compliance across the data estate.\nAdvise on use case prioritization across data platform modernization, analytics/BI, and AI/GenAI—anchored in data readiness and measurable outcomes.\nDemonstrate the “Art of the Possible” by showing how a strong data architecture accelerates AI adoption (e.g., trusted datasets, governed access, RAG-ready knowledge, and monitoring-ready pipelines).\nMicrosoft Co-Sell & Go-To-Market Support\nPartner with Microsoft field teams as the technical lead for Azure Data Platform pursuits, with AI/analytics included as part of the broader solution when applicable.\nDeliver technical presentations, architecture workshops, and demonstrations focused on data platform modernization and governed analytics, with AI examples as needed.\nAlign solutions to Microsoft strategic priorities, including Fabric and Azure data services; incorporate Azure OpenAI/Azure AI capabilities when they materially support client outcomes.\nPosition clients for funding programs and incentives tied to modernization and innovation.\nProposal Development & Deal Shaping\nOwn the technical components of proposals, including:\nData architecture diagrams (ingestion/integration, lakehouse/warehouse, governance/security, and consumption)\nSolution narratives (business + technical) that clearly articulate data value and a delivery approach\nWhen required, an AI enablement layer (e.g., RAG-ready data pipelines and governed access to models)\nShape deals that balance feasibility, scalability, security, and time-to-value.\nEnsure solutions are structured for incremental value delivery (assessment foundation migration/modernization\noptimization), with AI delivered only after the data foundation is production-ready.\nClient & Internal Enablement\nLead workshops on data platform modernization, data modeling, governance, and analytics enablement.\nProvide architectural guidance to delivery teams, ensuring continuity from pre-sales through implementation.\nContribute to reusable assets, including data architecture patterns, accelerators, governance templates, and reference architectures.\nRequired Experience & Skills\nCore Technical Expertise\nDeep experience designing Azure Data Platform architectures, including:\nADLS, Microsoft Fabric, Synapse, Databricks\nIngestion/integration patterns (batch, streaming, CDC), transformation, and orchestration\nData modeling (dimensional, Data Vault, and domain-aligned approaches) and semantic models\nGovernance and platform operations (catalog/metadata, lineage, data quality, security, monitoring, cost controls)\nStrong experience defining data architecture standards (reference architectures, patterns, decision records) and guiding teams to implement them consistently.\nWorking knowledge of AI/ML and Generative AI as consumers of the data platform.\nArchitecture & Design\nProven ability to design scalable, secure, and production-grade data architectures (reliability, performance, cost, and operability) across enterprise workloads.\nStrong grasp of data governance, privacy, and compliance considerations, including how they affect analytics and AI consumption.\nUnderstanding of how modern data platforms enable analytics and AI/GenAI delivery (data products, trusted datasets, monitoring-ready pipelines).\nConsultative & Pre-Sales Skills\nStrong experience in pre-sales solutioning, including discovery, qualification, and deal shaping.\nProven ability to create proposals, SOWs, and cost estimates for complex Data & AI engagements.\nAbility to clearly articulate business value of data, AI, and agentic systems, including ROI and operational impact.\nSkilled in leading executive-level discussions, workshops, and whiteboarding sessions.\nCollaboration & Communication\nExperience working in Microsoft co-sell environments, particularly around Azure data platform modernization (with analytics/AI as applicable).\nStrong collaboration across sales, delivery, and engineering teams.\nExcellent storytelling and presentation skills, especially around data modernization and governed analytics transformation journeys.\nPreferred Certifications\nAZ-305: Designing Microsoft Azure Solutions\nDP-203: Azure Data Engineer Associate\nMicrosoft Fabric / DP-600 (preferred)\nAI-102: Azure AI Engineer Associate (nice to have)\nAzure AI Foundry / GenAI-related certifications (emerging, optional)\nThis is a contractor position with the ability to work from home but may require travel to a client site.\nAtmosera is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. All employment is decided on the basis of qualifications, merit, and business need.\nWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.","company":"Atmosera","rawCompany":"atmosera","city":"Remote","state":"OR","isRemote":true,"isActive":false,"createdAt":"2026-08-08T14:03:07.515Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Solution Architect, Data (Remote US)","description":"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.\n\nWe are seeking a highly consultative, client-facing Solution Architect specializing in Azure 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.\nThis 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.\nYou 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.\nResponsibilities\nTechnical Pre-Sales Leadership & Data Discovery\nLead client-facing discovery sessions to understand business drivers, domain context, data products/use cases, and platform constraints.\nAssess current-state data architecture and maturity across ingestion, integration, storage/compute, data quality, metadata, lineage, security, and governance.\nIdentify opportunities to modernize data estates (cloud, lakehouse/warehouse, medallion, integration patterns) and improve time-to-value for analytics.\nTranslate business challenges into data architecture solution options, including the data foundations required to enable AI/ML and GenAI initiatives.\nSolution Architecture & Scoping\nArchitect end-to-end Azure data platform solutions, including:\nModern data platforms (Microsoft Fabric, Synapse, Databricks, ADLS)\nData integration and orchestration (ADF, Fabric pipelines), including patterns for batch, streaming, and CDC\nData modeling (conceptual/logical/physical), semantic modeling, and BI enablement (Power BI)\nSecurity, governance, and platform operations (RBAC, networking, encryption, monitoring, cost management)\nData quality, catalog/metadata, lineage, and master/reference data considerations\nDefine how analytics and AI will consume and be governed by the data platform, including:\nAI/ML and GenAI enablement patterns (feature/serving, vector search, RAG data pipelines) using Azure Machine Learning and Azure OpenAI as needed\nResponsible AI and data controls (privacy, sensitivity labels, access patterns, auditability)\nDefine solution scope, delivery approach, and assumptions.\nDevelop Statements of Work (SOWs), proposals, and platform estimates, ensuring alignment to client goals, timelines, and budgets.\nData Strategy, Governance & Enablement\nGuide clients on data strategy and target-state architecture, including data product thinking, operating model, and a pragmatic modernization roadmap.\nDefine patterns for governance (policies, stewardship, catalog/metadata, lineage), security, privacy, and compliance across the data estate.\nAdvise on use case prioritization across data platform modernization, analytics/BI, and AI/GenAI—anchored in data readiness and measurable outcomes.\nDemonstrate the “Art of the Possible” by showing how a strong data architecture accelerates AI adoption (e.g., trusted datasets, governed access, RAG-ready knowledge, and monitoring-ready pipelines).\nMicrosoft Co-Sell & Go-To-Market Support\nPartner with Microsoft field teams as the technical lead for Azure Data Platform pursuits, with AI/analytics included as part of the broader solution when applicable.\nDeliver technical presentations, architecture workshops, and demonstrations focused on data platform modernization and governed analytics, with AI examples as needed.\nAlign solutions to Microsoft strategic priorities, including Fabric and Azure data services; incorporate Azure OpenAI/Azure AI capabilities when they materially support client outcomes.\nPosition clients for funding programs and incentives tied to modernization and innovation.\nProposal Development & Deal Shaping\nOwn the technical components of proposals, including:\nData architecture diagrams (ingestion/integration, lakehouse/warehouse, governance/security, and consumption)\nSolution narratives (business + technical) that clearly articulate data value and a delivery approach\nWhen required, an AI enablement layer (e.g., RAG-ready data pipelines and governed access to models)\nShape deals that balance feasibility, scalability, security, and time-to-value.\nEnsure solutions are structured for incremental value delivery (assessment foundation migration/modernization\noptimization), with AI delivered only after the data foundation is production-ready.\nClient & Internal Enablement\nLead workshops on data platform modernization, data modeling, governance, and analytics enablement.\nProvide architectural guidance to delivery teams, ensuring continuity from pre-sales through implementation.\nContribute to reusable assets, including data architecture patterns, accelerators, governance templates, and reference architectures.\nRequired Experience & Skills\nCore Technical Expertise\nDeep experience designing Azure Data Platform architectures, including:\nADLS, Microsoft Fabric, Synapse, Databricks\nIngestion/integration patterns (batch, streaming, CDC), transformation, and orchestration\nData modeling (dimensional, Data Vault, and domain-aligned approaches) and semantic models\nGovernance and platform operations (catalog/metadata, lineage, data quality, security, monitoring, cost controls)\nStrong experience defining data architecture standards (reference architectures, patterns, decision records) and guiding teams to implement them consistently.\nWorking knowledge of AI/ML and Generative AI as consumers of the data platform.\nArchitecture & Design\nProven ability to design scalable, secure, and production-grade data architectures (reliability, performance, cost, and operability) across enterprise workloads.\nStrong grasp of data governance, privacy, and compliance considerations, including how they affect analytics and AI consumption.\nUnderstanding of how modern data platforms enable analytics and AI/GenAI delivery (data products, trusted datasets, monitoring-ready pipelines).\nConsultative & Pre-Sales Skills\nStrong experience in pre-sales solutioning, including discovery, qualification, and deal shaping.\nProven ability to create proposals, SOWs, and cost estimates for complex Data & AI engagements.\nAbility to clearly articulate business value of data, AI, and agentic systems, including ROI and operational impact.\nSkilled in leading executive-level discussions, workshops, and whiteboarding sessions.\nCollaboration & Communication\nExperience working in Microsoft co-sell environments, particularly around Azure data platform modernization (with analytics/AI as applicable).\nStrong collaboration across sales, delivery, and engineering teams.\nExcellent storytelling and presentation skills, especially around data modernization and governed analytics transformation journeys.\nPreferred Certifications\nAZ-305: Designing Microsoft Azure Solutions\nDP-203: Azure Data Engineer Associate\nMicrosoft Fabric / DP-600 (preferred)\nAI-102: Azure AI Engineer Associate (nice to have)\nAzure AI Foundry / GenAI-related certifications (emerging, optional)\nThis is a contractor position with the ability to work from home but may require travel to a client site.\nAtmosera is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. All employment is decided on the basis of qualifications, merit, and business need.\nWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.","datePosted":"2026-08-08T14:03:07.515Z","dateModified":"2026-08-08T14:03:07.515Z","hiringOrganization":{"@type":"Organization","name":"Atmosera","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"32e543ab34344ce19f47fc52"},"url":"https://jobsearcher.com/jobs/32e543ab34344ce19f47fc52"}}