Cloud Solution Architect - Data & AI

You will understand customers' overall data estate Business and IT priorities and success measures to design Data & Analytics solutions that drive business value and drive positive Customer Satisfaction & become a trusted advisor. You will ensure that solution exhibits high levels of performance, security, scalability, maintainability upon deployment and provide feedback and insights from customers/partners. Deliver according to MS best practices & using repeatable Intellectual Property (IP). Contribute to the identification, escalation, and mitigation of blockers using appropriate tools and processes to accelerate solution deployment, value realization and usage/consumption with minimal guidance. Continues to develop business, technical, industry, and/or enterprise knowledge and applies it to architecture or support projects with minimal guidance from more experienced peers to help meet business and information technology (IT) requirements and resolve identified constraints. You will apply technical knowledge to architect and design solutions that meet business and IT needs, create Data & Analytics roadmaps, drive Proof of Concepts (POC) and Minimal Viable Product (MVP), and ensure long term technical viability of new deployments, infusing key AI technologies where appropriate. Present architecture proposals, solution visions, and delivery approaches to executive audiences with clarity and confidence You will maintain technical skills and knowledge, keep up to date with market trends and competitive insights; collaborate and share with the AI technical community while educating customers on Azure platform. Technical Design the solution using your Data Platform technical knowledge, architectural approach, consultancy skills and our methodology to win a customer's technical decision and meet the customer's needs; drive proof of concepts (POCs)/production deployments to create momentum for MVPs, infusing key AI technologies where appropriate and being technically proficient to do POC with hands-on-skills. Experience with on-premise & cloud databases such as SQL Server, Azure SQL, Azure Database for PostgreSQL, MySQL, and Azure Cosmos DB. Proficient in Analytics, Data Warehousing, and Data Engineering scenarios, with a focus on building and enabling Intelligent Data and Analytics Platforms. Hands-on experience with AI agentic frameworks, multi-agent orchestration, and integration of AI agents into enterprise applications. Data pipeline creation, ETL/ELT processes, and managing large datasets (structured and unstructured). SQL Server at scale, on-premises to Azure migrations, troubleshooting, performance tuning and optimization and securing SQL Server on-premises or in Azure Experience with High Availability/Disaster Recovery solutions such as Failover Clustering, Database Mirroring, Always-On Availability Groups, and Replication Use trace analysis, debug skills, source code, and other proprietary tools, to analyze problems and develop solutions to meet customer needs; this may involve writing code 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 a high degree of comfort with both large and small groups. Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, 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. Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, 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, Azure Data Plaftorm, Power BI, Amazon Web Services, Google, security certifications).