Cloud Solution Architect

Microsoft Microsoft · Big Tech · Shanghai, Shanghai, China +1 · Cloud Solution Architecture

Cloud Solution Architect specializing in data platforms and analytics to help customers build secure, scalable, and AI-ready solutions on Microsoft Azure. This customer-facing role involves architecture design, proof of concepts, and production deployments, ensuring performance, resiliency, and security. The role leverages existing IP and execution engines to drive delivery excellence, accelerate adoption, and ensure successful deployments for services like Microsoft Fabric, Azure Databricks, Cosmos DB, and Purview. Collaboration with engineering teams and staying current with trends are key to helping customers unlock the full value of their data and AI investments.

What you'd actually do

  1. Engage with customer IT and business leaders to understand their data estate, priorities, and success measures, and design secure, scalable Data & AI solutions that deliver measurable business value.
  2. Lead architecture design sessions, develop Data & Analytics roadmaps, and drive Proof of Concepts (POCs) and Minimum Viable Products (MVPs) to accelerate adoption and ensure long-term technical viability.
  3. Own the end-to-end technical delivery results, ensuring completeness and accuracy of consumption and customer success plans in collaboration with the CSAM.
  4. Deliver repeatable intellectual property (IP) to achieve targeted outcomes, accelerate Azure Consumed Revenue (ACR), and contribute to centralized IP development initiatives.
  5. Provide delivery oversight and escalation support for key Factory engagements across Data & Analytics workloads.

Skills

Required

  • Cloud/infrastructure technologies
  • IT consulting/support
  • systems administration
  • network operations
  • software development/support
  • technology solutions
  • practice development
  • architecture
  • consulting
  • data platforms
  • analytics
  • Microsoft Azure
  • Microsoft Fabric
  • Azure Databricks
  • Cosmos DB
  • Purview

Nice to have

  • resiliency
  • security
  • mission-critical workloads
  • advanced and expert-level proficiency in priority workloads including Microsoft Fabric, Azure Databricks, Microsoft Purview, Azure SQL, PostgreSQL, MySQL, and Cosmos DB

What the JD emphasized

  • AI-ready solutions
  • measurable business value
  • accelerate adoption
  • long-term technical viability
  • end-to-end technical delivery results
  • accelerate Azure Consumed Revenue (ACR)
  • production-scale AI use cases