Cloud Solution Architect - Data & AI

Microsoft • ,

21h • $106,400 - $222,600

About The Position

The Cloud Solution Architect – Data & AI is a customer-facing role within Microsoft’s CSA Global Delivery organization. The position supports customers in building secure, scalable, AI-ready solutions on Microsoft Azure and guides organizations through data modernization and AI journeys. Work includes architectural design sessions, proofs of concept, and production deployments for mission-critical workloads, with an emphasis on performance, resiliency, security, and measurable business value.

The architect works with established repeatable intellectual property and execution frameworks to deliver high-quality outcomes and accelerate adoption. Technologies mentioned include SQL Server, Azure SQL, Microsoft Fabric, Power BI, Azure Databricks, Cosmos DB, and Microsoft Foundry. The role involves understanding customer business and IT priorities, designing data and analytics solutions, advising customer stakeholders, and presenting architecture proposals and delivery approaches to executive audiences. The position is part of a team focused on customer success across hybrid and public cloud solutions.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or a related field and 4+ 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.
• Experience with on-premises and cloud databases, including SQL Server, Azure SQL, Azure Database for PostgreSQL, MySQL, and Azure Cosmos DB.
• Proficiency in analytics, data warehousing, and data engineering, particularly building and enabling intelligent data and analytics platforms.
• Experience with Microsoft Fabric, Power BI, lakehouse architectures, and Azure Databricks.
• Hands-on experience with AI agentic frameworks, multi-agent orchestration, and integration of AI agents into enterprise applications.
• Experience creating data pipelines, ETL/ELT processes, and managing large structured and unstructured datasets.
• SQL Server experience, including large-scale SQL Server, on-premises-to-Azure migrations, troubleshooting, performance tuning and optimization, and securing SQL Server on-premises or in Azure.
• Experience with high availability and disaster recovery solutions, such as failover clustering, database mirroring, Always-On Availability Groups, and replication.
• Familiarity with AI solution design patterns, responsible AI principles, and ethical AI practices.
• Programming skills in Python, R, and/or C# for AI development.
• Experience in Azure architecture design, Azure IaaS, Azure SQL Database, Azure SQL Managed Instance, high availability, service resilience, and distributed systems.
• Consultative and presentation skills, with comfort presenting to both large and small groups.
• Must be eligible to work without Microsoft visa sponsorship for this role; Microsoft states it is unable to sponsor a work visa due to the nature of the role’s duties.

Nice To Haves

• Bachelor’s degree in a listed or related field and 8+ years of relevant experience, or a master’s degree in a listed or related field and 6+ years of relevant experience, or equivalent experience.
• 4+ years of experience in a customer-facing role, internal and/or external.
• 4+ years of experience working on technical projects.
• Technical certification in cloud technologies, such as Azure, Azure Data Platform, Power BI, Amazon Web Services, Google, or security certifications.

Responsibilities

• Understand customers’ data estate, business and IT priorities, and success measures to design data and analytics solutions that drive business value and customer satisfaction.
• Design solutions for performance, security, scalability, and maintainability, and provide feedback and insights from customers and partners.
• Develop opportunities that drive customer success and help customers realize value from Microsoft investments; identify and resolve customer blockers using subject matter expertise and repeatable intellectual property.
• Identify, escalate, and mitigate blockers using appropriate tools and processes to accelerate solution deployment, value realization, and usage or consumption.
• Apply business, technical, industry, and enterprise knowledge to architecture or support projects and help meet business and IT requirements and resolve constraints.
• Architect and design solutions that meet business and IT needs; create data and analytics roadmaps; drive proofs of concept and minimum viable products; and ensure long-term technical viability, incorporating AI technologies where appropriate.
• Present architecture proposals, solution visions, and delivery approaches to executive audiences.
• Maintain technical skills and knowledge, keep current with market trends and competitive insights, collaborate with the AI technical community, and educate customers on the Azure platform.
• Design data platform solutions using technical knowledge, architectural methods, consultancy skills, and Microsoft methodology; drive proofs of concept and production deployments, including hands-on proof-of-concept work.
• Work with on-premises and cloud databases, analytics, data warehousing, data engineering, intelligent data platforms, modern data technologies, and data pipelines.
• Use trace analysis, debugging skills, source code, and other tools to analyze problems and develop solutions, which may involve writing code.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level