Cloud Solution Architecture-CTJ-Top Secret
About The Position
The Cloud Solution Architect (CSA) focused on Cloud & AI Data helps customers build unified, governed, secure, and AI-ready data estates on Microsoft Azure. This customer-facing role designs and delivers data platform, analytics, and database solutions that enable production-scale AI and agent scenarios. The architect leads technical engagements across architecture design, proofs of concept, and production deployments, using repeatable IP, Factory, Unified VAS, and data acceleration programs to help customers progress from foundational data capabilities to scalable production outcomes. As part of Microsoft’s Cloud & AI Data team, the role helps customers increase data platform adoption, improve workload health, resiliency, security, and capacity, and 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. Overnight travel to Huntsville, Alabama is required and may be as much as 50%.
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/infrastructure technologies, IT consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting, or equivalent experience.
- Must have an active U.S. Government Top Secret Security Clearance and meet Microsoft, customer, and/or government security screening requirements.
- Must successfully verify the stated security clearance and pass the Microsoft Cloud background check upon hire or transfer and every two years thereafter.
- U.S. citizenship verification is required due to citizenship-based legal restrictions for the supported government customers.
- Ability and willingness to travel overnight to Huntsville, Alabama, potentially up to 50%.
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/support, systems administration, data engineering, database administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting; or a related master’s degree and at least 3 years of relevant experience; or equivalent experience.
- At least 2 years of experience 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, 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
