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Microsoft Corporation Logo Microsoft Corporation · IT - Software Development

Cloud Solution Architect - Cloud & AI Data Platform

United States, Multiple Locations 106400.00 - 203600.00 USD / Year · Job Posted January 10, 2026
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Job Description

As a Cloud Solution Architect (CSA) for Cloud & AI Data Platform, you will support customers on their intelligent applications journey, combining deep expertise in Azure AI services, cloud-native architectures, and modern development patterns. You will guide customers on solution envisioning, design & deployment, through direct customer engagements, as well as designing and creating repeatable customer-facing services to scale the delivery capability through Success Programs. This opportunity allows you to accelerate your career growth, develop deep business acumen, hone your solution architecture skills, and become adept at driving real‑world outcomes. This role is flexible, allowing up to 50% remote work.

Job Responsibility

  • Act as the technical service leader and SME on the entire lifecycle of Success Program services focused on Cloud & AI Data Platform
  • This includes aligning service architecture and design with business priorities and requirements, orchestrating build and deployment, managing updates, and supporting change adoption
  • Demonstrate thought leadership and subject matter expertise across AI service components, developing IP, influencing design and delivery quality, and enabling others through strategic guidance
  • Lead technical engagements across design, build, and operations, removing blockers and accelerating adoption of Azure Synapse Analytics, Azure Databricks, Azure Data Factory, Azure SQL, Microsoft Fabric, Azure AI Foundry, MLOps, Azure Machine Learning, and data governance platforms
  • Drive positive Customer Satisfaction and become a trusted advisor, providing feedback & insights from customers/partners as you develop and expand impactful relationships with customer and partner architects, C-level Technical Decision Makers (TDMs), and business stakeholders
  • Provide direction to TDMs and build the bridge between TDMs and Business Decision Makers (BDMs)
  • Develop opportunities to drive Customer Success business results and help Customers get value from their Microsoft investments
  • Support team technical skilling on Microsoft data & AI platforms based on area demands & Customer Success goals, share expertise in relevant communities, contribute to IP creation & reuse, and connect gaps and patterns across business and technology areas
  • Partner with other CSAs, CSAMs, and Product Groups to drive unified delivery and technical excellence

Requirements

  • Bachelor's Degree in Computer Science, Information Technology, Engineering, Business or related field AND 4+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting
  • OR equivalent experience
  • Microsoft is unable to sponsor a work visa for this role due to the nature of the role’s job duties

Nice to have

  • Bachelor's Degree in Computer Science, Information Technology, Engineering, Business or related field AND 8+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting
  • OR Master's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 6+ years experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting
  • OR equivalent experience
  • 4+ years experience working in a customer-facing role (e.g., internal and/or external)
  • 4+ years experience working on technical projects
  • Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications)
  • Demonstrated technical expertise in at least one of the following Microsoft data & AI platforms: Azure Synapse Analytics
  • Azure Databricks
  • Azure Data Factory
  • Azure SQL / Microsoft Fabric
  • Azure Machine Learning & MLOps / Azure AI Foundry
  • Data & AI certifications (e.g., Microsoft Certified: Azure Data Engineer Associate (DP-203)
  • Microsoft Certified: Azure AI Engineer Associate (AI-102)
  • Experience with distributed data engineering, lakehouse architectures, and MLOps (e.g., MLflow, Azure ML)
  • Experience integrating data governance and quality frameworks (e.g., Fabric Data Governance, Purview)
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