Cloud Solution Architect (data Platforms and Analytics)

Microsoft Microsoft · Big Tech · Seoul, Seoul, South Korea · 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 leading technical engagements from architecture design to production deployments, advising C-level executives, and partnering with Customer Success Leaders to shape cloud strategies. The role focuses on services like Microsoft Fabric, Azure Databricks, and Azure SQL, collaborating with engineering teams and staying current with data and AI trends.

What you'd actually do

  1. Engage with customer IT Executives 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

  • Fluent Korean language skills
  • English skills
  • 7+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting
  • Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field

Nice to have

  • 2+ years experience working in a customer-facing role
  • 4+ years experience working on technical projects
  • Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications)
  • Technical experience and knowledge in priority workloads including Microsoft Fabric, Azure Databricks, Microsoft Purview, Azure SQL, PostgreSQL, MySQL, and Cosmos DB.

What the JD emphasized

  • AI-ready solutions
  • data and AI investments
  • production-scale AI use cases

Other signals

  • customer-facing
  • technical engagements
  • architecture design
  • proof of concepts
  • production deployments
  • AI-ready solutions
  • data and AI investments