Cloud Solution Architect - Data & AI

Microsoft is on a mission to empower every person and every organization on the planet to achieve more. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. You can help us to achieve our mission.

Microsoft aspires to help our customers achieve their own digital transformation, leveraging the power of Microsoft Cloud solutions and support offerings. To this end, Microsoft invests in a dedicated Customer Success team that will help Microsoft customers successfully realize their business outcomes.

Azure is the most comprehensive, innovative and flexible cloud platform today and Microsoft is hiring professionals that will drive customer cloud adoption within the most important companies in the market.

We are looking for a highly motivated and passionate Data Platform & Advanced Analytics/Artificial Intelligence Cloud Solution Architect to drive high priority customer initiatives on the Microsoft Azure Platform in collaboration with customers and the Microsoft field in Enterprise accounts segment of our business. This is a customer facing role, owning overall technical relationship between customer and Microsoft Data, Advanced Analytics and Artificial Intelligence Platform.

You will own the Data Platform & Advanced Analytics technical customer engagements including architectural design sessions, specific implementation projects and/or MVPs. The ideal candidate will have experience in customer-facing roles and success leading deep technical architecture discussions with senior customer executives, Enterprise Architects, IT Management and Developers to drive Data Platform and Advanced Analytics solutions to productions.

Key Responsibilities:

• Understand customers' overall data estate, IT and business priorities and success measures to design implementation architectures and solutions.
• Apply technical knowledge to architect solutions that meet business and IT needs, create Data Platform, Data Migration Strategy, Analytics and AI roadmaps, and ensure long term technical viability of new deployments.
• Ensure that solution exhibits high levels of performance, security, scalability, maintainability, appropriate reusability and reliability upon deployment.
• Develop deep relationships with key customer IT decision makers and relevant business decision makers.
• Be a Voice of Customer to share insights and best practices, connect with Engineering team to remove key blockers.
• Assess the Customers' knowledge of Azure platform and overall cloud readiness to support customers through a structured learning plan.
• Collaborate with other Cloud Solution Architects and MS stakeholders in developing complex end-to-end Enterprise solutions on Microsoft Cloud platforms.
• Maintain technical skills and knowledge, keeping up to date with market trends and competitive insights.
• Be an Azure Platform evangelist with customers, partners and external communities.

Required Qualifications:

• 10+ years of success in consultative/complex technical sales and deployment projects, architecture, design, implementation, and/or support of highly distributed applications.
• Proven track record of building deep technical relationships with senior IT executives in large or strategic accounts.
• Strong problem-solving skills and ability to solve customer problems through cloud technologies.
• Excellent collaboration and communication skills, with the ability to lead and influence virtual teams.
• Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, database migrations, and technology management.
• Depth / Subject Matter Expertise in two or more of the following Data Analytics and AI Platform Cloud solutions: SQL 2019/2022, RDBMS, NoSQL Databases, Big Data, Advanced Analytics, Data Governance, Data Engineering, Modeling and Business Intelligence.

Preferred Qualifications:

• Experience in LLM based solutioning and deployment.
• Knowledge of Azure AI Services including Azure OpenAI.
• Bachelor's degree in Computer Science, Information Technology, Engineering or related field.
• Certifications in Cloud, Database, Big Data, BI, Data Science, Machine Learning, Artificial Intelligence.
• Prior work experience in a Consulting/Architecture position within a software and/or services company.
• Prior solution delivery experience on SQL, NoSQL and OSS platforms at scale.