Cloud Solution Architecture - Cloud Infrastructure

• Develop relationships with key customer IT and business decision makers, to understand their data estate, priorities, and success measures, and design secure, scalable Data & AI solutions that deliver measurable business value
• 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
• Ensure that solution exhibits high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment and provide feedback and insights from customers/partners
• Develop opportunities to drive Customer Success business results & help Customers get value from their Microsoft investments and identify resolutions to Customer blockers by leveraging subject matter expertise
• 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
• 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
• Accelerate customer outcomes - Share expertise, contribute to IP creation & re-use to accelerate customer outcomes and obtain relevant accreditations and certifications
• Drive Azure consumption through accurate and complete Azure Consumption Plans and support Unified/Factory delivery models
• Lead technical workshops, build MVPs, and guide customers through production deployments
• Collaborate with internal teams to remove blockers and share customer feedback
• Evangelize Azure technologies within customer, partner, and community ecosystems
• Own the end-to-end technical delivery results, ensuring completeness and accuracy of consumption and customer success plans in collaboration with the Customer Success Account Managers
• Provide delivery oversight and escalation support for key consumption engagements across Data & Analytics workloads
• Drive technical excellence by leading the health, resiliency, security, and optimization of mission-critical data workloads, ensuring readiness for production-scale AI use cases
• Identify resolutions to issues blocking go-live of migration and modernization projects by leveraging Azure Infrastructure technical subject matter expertise and lead technical conversations with customers to drive value from their Microsoft investments
• Demonstrate a self-learner mindset through continuous alignment of individual skilling to team/area demands and Customer Success goals
• Be accredited and certified to deliver with advanced and expert-level proficiency in priority workloads including Microsoft Fabric, Azure Databricks, Microsoft Purview, Azure SQL, PostgreSQL, MySQL, and Cosmos DB

• Prior work experience in a Consulting/Architecture position within a software and/or services company such as Amazon, VMware, Google, IBM, Oracle desired
• Bachelor’s degree in computer science, Information Technology, Engineering, Business, or related field AND 12+ 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, or related field AND 8+ years experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting OR equivalent experience
• 6+ years experience working in a customer-facing role (e.g., internal and/or external)
• 6+ years experience working on technical projects
• 5+ years of experience with SQL Server, SQL Server on Azure VMs, Azure SQL DB, and/or Azure SQL Managed Instance, Data Warehouses, Power BI
• Experience in SQL Server at scale, on-premises to Azure migrations, complex SQL Server troubleshooting, performance tuning and optimization, scaling OLTP and OLAP workloads, and securing SQL Server on-premises or in Azure
• Technical Certifications in Cloud (e.g., Azure, Azure Data Platform, Power BI, Amazon Web Services, Google, security certifications)
• Technical experience and knowledge in Enterprise-scale technical experience with On-premises, cloud and hybrid infrastructures, architecture designs, migrations, and technology management
• Advanced written, spoken English level with direct customer facing experience
• Note: Microsoft is unable to sponsor a work visa for this role due to the nature of the role’s job duties
• Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, database migrations, and technology management
• Breadth of technical experience and knowledge, with depth / Subject Matter Expertise in two or more of the following Data Platform and Analytics Cloud solutions: SQL Server/Database and OSS database (PostgreSQL, MySQL etc), Azure (Azure SQL, Azure Postgres SQL, Azure MySQL, Cosmos DB), Microsoft Fabric (Fabric DW, Real-Time Intelligence, OneLake, Data Integration, Data Engineering, Copilot, Data Science), Azure AI Foundry, Azure SQL Hyperscale, Azure Databricks, Microsoft Purview, Azure Data Factory, Power BI, Azure Machine Learning, Azure Open AI, Cognitive services, NoSQL Databases including OSS (Cassandra, Mongo, and HBase etc), Big Data platform such as Synapse, Snowflake, Big Query, Redshift, Spark, Advanced Analytics including Azure Synapse, Databricks, and visualization tools such as PowerBI, Tableau, Data Science and Data Engineering including machine learning framework such as PyTorch and scikit-learn, Streaming, IoT, Real-time analytics, Expertise in data estate workloads like HDInsight, Hadoop, Cloudera, Spark, Python
• The technical aptitude and experience to learn new technologies and understand relevant cloud trend
• Competitive Landscape: Knowledge of cloud development platforms
• Understanding of partner ecosystems and the ability to leverage partner solutions to solve customer needs
• Expertise in AI Preferred

Expertise in AI Preferred