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Microsoft Cloud Solution Architect -- Data & Analytics 
China, Beijing, Beijing 
55378943

10.09.2024

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 Open source technologies, 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 or IT development or IT Operations .

Additional or Preferred Qualifications:

  • Master ’s degree in computer science, Information Technology, Engineering, or a related field.
  • 12+ years of experience in open source technologies, 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, Hive, Flink, etc.)

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.