Microsoft Cloud Solution Architect - AI Data 

Taiwan, Taoyuan City 

826147613

Required Qualifications (RQs)

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field 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
  • OR equivalent experience

Preferred Qualifications (PQs)

• Bachelor's or Master's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND extensive 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
• Solid experience working in a customer-facing role (e.g., internal and/or external) and working on technical projects
• Business Value: The ability to convey the business needs and value of proposed solutions, plans, and risks to stakeholders and decision makers. This includes the ability to persuade and inform based on facts and alignment with goals and strategy.
• Trusted Advisership: The ability to build trusted advisor status and deep relationships across stakeholders (e.g., technical decision makers, business decision makers) through an understanding of customer needs and technologies.

Preferred Technical Qualifications

• Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, Databricks)
• Demonstrable hands-on experience with either relational or NoSQL databases (Azure or equivalent), with a strong portfolio of creating Data & Analytics Minimum Viable Products (MVPs) for customers that lead to production deployments and their subsequent optimization.
• Experience in migrations across database technologies (SQL Server, OSS DBs) and/or modernization from on-premises to the cloud.
• Experience in handling structured and unstructured data in Big Data scenarios using technologies such as Fabric Data Warehouse, Snowflake, Big Query, Redshift, and data lake concepts.

• 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.

• 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.

• Own the end-to-end technical delivery results, ensuring completeness and accuracy of consumption and customer success plans in collaboration with the CSAM.

• Deliver repeatable intellectual property (IP) to achieve targeted outcomes, accelerate Azure Consumed Revenue (ACR), and contribute to centralized IP development initiatives.

• Provide delivery oversight and escalation support for key Factory engagements across Data & Analytics workloads.

• Drive technical excellence by leading the health, resiliency, security, and optimization of mission-critical data workloads, ensuring readiness for production-scale AI use cases.

• Identify and resolve technical blockers, share customer feedback with engineering teams, and influence product improvements through Voice of the Customer insights.

• Maintain deep technical expertise and stay current with market trends, competitive insights, and Microsoft’s evolving data and AI capabilities.

• Be accredited and certified to deliver with advanced and expert-level proficiency in priority workloads including Microsoft Fabric, Azure Databricks, Microsoft Purview, Azure SQL, PostgreSQL, MySQL, and Cosmos DB.

• Demonstrate a growth mindset by continuously aligning your skills to team and customer needs, contributing to technical communities, and mentoring others to accelerate customer outcomes.