Cloud Solution Architect – Data & Ai

International Customer Success Unit (iCSU) brings scale, agility, and cross solution coverage to our largest, most strategic Global Account customers in their international downstream locations outside of headquarters. We operate out of key geographic locations around the world enabling global execution of our customer’s digital transformation strategies. We bring a seamless customer experience that crosses functional and geographic boundaries empowering customers to realize the business value of their investments in our technology.
The CSA role is responsible for driving customer satisfaction in adopting and effective use of Microsoft’s cloud platforms, consumption, growth with using the array of Cloud services, and the governance of delivery for their portfolio of accounts.
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 and AI technical support for both pre and post sales including architectural design sessions, specific implementation projects, build MVPs and trouble solving and prevent the issues and support to build more efficient systems with Well-Architect framework. 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.
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, AA/AI roadmaps, and ensure long term technical viability of new deployments, infusing key analytics and AI technologies where appropriate (e.g. Azure ML, Cognitive Services, Spark, Data Lake, Azure Synapse, etc.)
• 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, who drive long-term cloud adoption within their company to enable them to be cloud advocates.
• 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 and ensure its delivery through partners.
• Collaborate with other Cloud Solution Architects in developing complex end-to-end Enterprise solutions on Microsoft Azure platform.
• Maintain technical skills and knowledge, keeping up to date with market trends and competitive insights; collaborate and share with the technical community while educate customers on Azure platform.
• Be an Azure Platform evangelist with customers, partners and external communities.

Qualifications:

• Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, database migrations, and technology management. required
• Breadth of technical experience and knowledge, with depth / Subject Matter Expertise in two or more of the following Data Platform and Analytics Cloud solutions required:

• AOAI/AI and Cognitive services
• NoSQL Databases including OSS (Cassandra, Mongo, and HBase etc), Cosmos DB
• 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.
• SQL Server/Database and OSS database (PostgreSQL, MySQL etc)
• Streaming, IoT, Real-time analytics
• Expertise in data estate workloads like HDInsight, Hadoop, Cloudera, Spark, Python preferred
• The technical aptitude and experience to learn new technologies and understand relevant cloud trend required
• Competitive Landscape: Knowledge of cloud development platforms preferred
• Understanding of partner ecosystems and the ability to leverage partner solutions to solve customer needs preferred

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the .