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Microsoft Cloud Solution Architect -- Data & AI China, Shanghai 701070576
10.12.2024
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Required/Minimum Qualifications:
- Bachelor’s degree in computer science, Information Technology, Engineering, or a related field.
- 2+ years of experience in software development/support, data science, analytics/BI system development, or artificial intelligence.
- 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
Additional or Preferred Qualifications:
- Bachelor’s degree in computer science, Information Technology, Engineering, or a related field.
- 5+ years of experience in open source technologies, cloud/infrastructure technologies, software development/support, data science, analytics/BI system development, or artificial intelligence.
- Proficiency in one of the development languages (e.g., Python, Java, Go, C#, JavaScript, Scala).
- 2+ years experience working in a customer-facing role (e.g., internal and/or external)
- 2+ years experience working on 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
- 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.
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