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 the Enterprise accounts segment of our business.
This is a customer-facing role, owning the overall technical relationship between the customer and Microsoft Data, Advanced Analytics, and Artificial Intelligence Platform.With over 18,000 employees worldwide, the Microsoft Customer Experience Success (CES) organization is responsible for the strategy, design, and implementation of Microsoft's end-to-end customer experience.
Come join CES and help us build a future where customers come to us not only because we provide industry-leading products and services, but also because we provide a differentiated and connected customer experience.Microsoft's mission is to empower every person and every organization on the planet to achieve more.
As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals.
Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.ResponsibilitiesCustomer CentricityUnderstand customers' overall data estate Business and IT priorities and success measures to design Data Analytics solutions that drive business value.Customer Satisfaction - Drive positive Customer Satisfaction become a trusted advisor.Ensure that the solution exhibits high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment.Customer/Partner Insights - Provide feedback insights from customers/partners.Business ImpactConsumption (Cloud Support) growth - Develop opportunities to drive Customer Success business results help Customers get value from their Microsoft investments.Resolution of Customer Blockers - Identify resolutions to Customer blockers by leveraging SA subject matter expertise.
Deliver according to MS best practices using repeatable Intellectual Property (IP).Apply technical knowledge to architect and design solutions that meet business and IT needs, create Data Analytics roadmaps, drive POCs and MVPs, and ensure long-term technical viability of new deployments, infusing key AI technologies.Technical LeadershipBe the Voice of Customer to share insights and best practices, connect with the Engineering team to remove key blockers and drive product improvements.Learn It All - Maintain technical skills and knowledge, keeping up to date with market trends and competitive insights; collaborate and share with the AI technical community while educating customers on the Azure platform.Accelerate customer outcomes - Share expertise, contribute to IP creation re-use to accelerate customer outcomes.QualificationsBachelor's degree in computer science, Information Technology, Engineering, Business or related field AND considerable experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or Business Applications consulting.OR equivalent experience.Business Value: The ability to convey the business need and value of proposed solutions, plans, and risks to stakeholders and decision makers.
This includes the ability to persuade and inform based on facts and alignment with goals and strategy.Trusted Advisorship: The ability to build trusted advisor status and deep relationships across stakeholders (e.g., technical decision makers, business decision makers) through an understanding of customer needs and technologies.Situational fluency: Using self-awareness as a mechanism to interpret verbal and non-verbal cues to increase your ability to 'read the room.
'Insightful listening: Asking insightful questions to understand the customer needs, issues, business environment, and drivers, and going beyond what the customer has said.TechnicalBreadth of technical experience and knowledge in foundational security, foundational AI, architecture design, with depth / Subject Matter Expertise in one or more of the following:Good knowledge in Data Analytics platforms, data warehouse and data lakehouse architecture and implementations, Data Governance solutions, along with practical experience with technologies such as Azure Synapse/Fabric, Databricks, and Azure SQL (IaaS/PaaS).Experience creating Data Analytics Proof of Concepts (PoC), Minimum Viable Products (MVPs) for customers that lead to production deployments.Competitive Landscape: Knowledge of key Data Analytics platforms such as AWS, GCP, Snowflake, etc.Software development practices like DevOps and CI/CD tool chains (i.e., Jenkins, Azure Developer Services, GitHub) and container orchestration systems (i.e., Docker, Kubernetes, Cloud Foundry, Azure Kubernetes Service, GitHub).
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