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Microsoft Corporation Cloud Solution Architect- Data & AI in Tokyo, Japan

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

Professional

  • Experience . 7+ years of success in consultative/complex technical sales and deployment projects, architecture, design, implementation, and/or support of highly distributed applications required

  • Relationship Building. Proven track record of building deep technical relationships with senior IT executives in large or highly strategic accounts. Experience in managing various stakeholder relationships to get consensus on solution/projects. required

  • Problem Solving. Ability to solve customer problems through cloud technologies required

  • Collaboration and Communication. Acknowledged for driving decisions collaboratively, resolving conflicts and ensuring follow through with exceptional verbal and written communication skills. Ability to orchestrate, lead, and influence virtual teams, ensuring successful implementation of customer projects. Presentation skills with a high degree of comfort with both large and small audiences (Senior Executives, IT management, Database administrators and Data Scientist) required

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

  • Expertise in AI like LLM Preferred

  • Japanese fluent

  • Location: Japan (Kanto region are preferred )

Experiences :

Prior work experience in a Consulting/Architecture position within a software and/or services company such as Amazon, VMware, Google, IBM, Oracle desired

#customersuccess

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .

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