Data & AI Cloud Solution Architect - CTJ - Top Secret

Microsoft•Washington, DC

19h•$86,100 - $187,400

About The Position

Microsoft is seeking a customer-facing Cloud Solution Architect focused on Cloud & AI Data to help customers build unified, governed, secure, and AI-ready data estates on Microsoft Azure. The role designs and delivers data platform, analytics, and database solutions that enable production-scale AI and agent scenarios. The architect leads technical engagements spanning architecture design, proof of concepts, and production deployments. They use repeatable IP, Factory, Unified VAS, and data acceleration programs to help customers progress from data foundations to scalable, production-grade outcomes. As part of the Cloud & AI Data team, the role supports data platform adoption and improves workload health, resiliency, security, and capacity while helping customers realize value from Microsoft Fabric, Azure Databricks, Microsoft Purview, Azure SQL, Azure Database for PostgreSQL, Azure Database for MySQL, Cosmos DB, Microsoft IQ, and related AI capabilities. The position requires an active U.S. Government Top Secret Security Clearance and verification of U.S. citizenship. It also requires passing the Microsoft Cloud background check upon hire or transfer and every two years thereafter. The role is classified as Cloud Solution Architecture IC3. The typical U.S. base pay range is $86,100–$169,800 per year; the range for the San Francisco Bay Area and New York City metropolitan area is $113,300–$187,400 per year. Certain roles may be eligible for benefits and other compensation. The position will remain open for at least five days, with applications accepted until it is filled.

Requirements

Bachelor’s degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or a related field, or equivalent experience.
At least 2 years of experience in cloud or infrastructure technologies, IT consulting or support, systems administration, network operations, software development or support, technology solutions, practice development, architecture, and/or consulting, or equivalent experience.
Must have an active U.S. Government Top Secret Security Clearance and provide clearance verification information before an offer of employment.
Must meet Microsoft, customer, and/or government security screening requirements, including passing the Microsoft Cloud background check upon hire or transfer and every two years thereafter.
U.S. citizenship is required and will be verified through a valid passport, other approved documents, or verified U.S. government clearance.

Nice To Haves

Bachelor’s degree in Computer Science, Information Technology, Engineering, Business, or a related field and at least 5 years of experience in cloud, data platform, analytics, database, AI, or infrastructure technologies, IT consulting or support, systems administration, data engineering, database administration, network operations, software development or support, technology solutions, practice development, architecture, and/or consulting; or a master’s degree in a related field and at least 3 years of experience in cloud, data platform, analytics, database, AI, or infrastructure technologies, technology solutions, practice development, architecture, and/or consulting; or equivalent experience.
At least 2 years of experience working in a customer-facing role, internal and/or external.
At least 2 years of experience working on technical projects.
Technical certification in cloud, data, analytics, database, AI, or security technologies, such as Microsoft Azure, Microsoft Fabric, Azure Databricks, Microsoft Purview, Azure SQL, PostgreSQL, MySQL, Cosmos DB, or equivalent cloud/data certifications.

Responsibilities

Engage customer IT and business leaders to understand data estates, AI priorities, governance needs, success measures, and business outcomes, and design secure, scalable Cloud & AI Data solutions.
Lead architecture design, create Data & AI platform roadmaps, and drive proofs of concept, pilots, and production milestones across analytics, database, Fabric, Foundry, Microsoft IQ, and agent-enabled scenarios.
Own technical delivery for dispatched engagements and partner with CSAMs to ensure Azure consumption and customer success plans are accurate, aligned, and feasible.
Use and contribute repeatable IP, templates, frameworks, and agents to accelerate deployment, improve consistency, grow Data share, and support Azure consumption outcomes.
Provide delivery oversight and escalation support for Factory, Unified, and data acceleration engagements across Data & Analytics workloads.
Lead workload health, resiliency, sovereignty, security, capacity management, and optimization for mission-critical data workloads and production-scale AI and agent use cases.
Resolve technical blockers and adoption issues, and share customer and field feedback with product and engineering teams to improve platform readiness and outcomes.
Maintain deep expertise in Cloud & AI Data priorities, market trends, competitive insights, and Microsoft’s evolving data, AI, and agent capabilities.
Maintain advanced proficiency in priority workloads, including Microsoft Fabric, Azure Databricks, Microsoft Purview, Azure SQL, PostgreSQL, MySQL, Cosmos DB, Microsoft IQ, and related AI and agent scenarios.
Align skills to customer and team priorities, contribute to communities, share reusable learnings, and mentor others.