Microsoft Cloud Solution Architect -- Data & AI 

China, Shanghai 

716157071

Required/Minimum Qualifications:

• Bachelor’s degree in computer science, Information Technology, Engineering, or a related field.
• 7+ years of experience in software development/support, data science, analytics/BI system development, or artificial intelligence.
• Deep understanding of Cloud Infrastructure, Cloud Native solutions, Database and Security.
• Familiarity with at least one development language (e.g., Python, Java, Go, C#, JavaScript, Scala).
• Problem Solving. Ability to solve customer problems through cloud technologies required
• 3+ years of experience in customer-facing IT project delivery .

Additional or Preferred Qualifications:

• Master’s degree in computer science, Information Technology, Engineering, or a related field.
• 12+ years of experience in cloud/infrastructure technologies, software development/support, data science, analytics/BI system development, or artificial intelligence.
• Proficiency in multiple development languages (e.g., Python, Java, Go, C#, JavaScript, Scala).
• 6+ years of experience in customer-facing IT project delivery.
• 6+ years of experience leading technical projects.
• Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google Cloud, Alibaba Cloud, Tencent Cloud, security certifications).

Tech Skill Key Words (Optional, The more familiar entries, the better.)

-Essential Skills:

- OpenAI/AI and Cognitive services

- NoSQL Databases including OSS (Cassandra, Mongo, HBase, etc.), Cosmos DB

- SQL Server/Database and OSS database (PostgreSQL, MySQL, etc.)

- Big Data platforms (Databricks, Synapse, Snowflake, Big Query, Redshift, Spark)

- Advanced Analytics (Azure Synapse, Databricks, visualization tools such as PowerBI, Tableau, QuickBI)

-Preferred Skills:

- Data Science and Data Engineering (machine learning frameworks such as PyTorch and scikit-learn)

- Expertise in data estate workloads (HDInsight, Hadoop, Cloudera, Spark, Python)

• 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.