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Microsoft · 17 hours ago

Cloud Solution Architect - Cloud & AI Data Platform

United States

Full-time

Remote

Mid, Senior Level

$106K/yr - $204K/yr

4+ years exp

Microsoft is a global leader in technology, and they are seeking a Cloud Solution Architect for their Cloud & AI Data Platform. The role involves supporting customers on their intelligent applications journey, guiding them through solution envisioning, design, and deployment while ensuring successful adoption of Azure services.

Agentic AIApplication Performance ManagementArtificial Intelligence (AI)Business DevelopmentDevOpsInformation ServicesInformation TechnologyManagement Information SystemsNetwork SecuritySoftware

Growth Opportunities

No H1B

Responsibilities

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

Qualification

Azure AI servicesCloud-native architecturesAzure Synapse AnalyticsAzure DatabricksAzure Data FactoryAzure SQLAzure Machine LearningMLOpsData governanceTechnical Certification in CloudCustomer-facing experienceTechnical project experienceDistributed data engineeringLakehouse architecturesData & AI certifications

Required

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

Preferred

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)