Microsoft Cloud Solution Architecture IC4 

Taiwan, Taoyuan City 

663496532

Required/Minimum Qualifications

• Bachelor’s degree in computer science, Information Technology, Engineering, Business, or related field AND 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
  • OR equivalent experience

• 7+ years experience with cloud and hybrid, or on premises infrastructures, architecture designs, migrations, industry standards, and/or technology management.

• 7+ years of experience with SQL Server, SQL Server on Azure VMs, Azure SQL DB, and/or Azure SQL Managed Instance, Data Warehouses, Power BI.

• Experience in SQL Server at scale, on-premises to Azure migrations, complex SQL Server troubleshooting, performance tuning and optimization, scaling OLTP and OLAP workloads, and securing SQL Server on-premises or in Azure.
• AI & Copilot Strategy Execution

Additional or Preferred Qualifications

• Bachelor’s degree in computer science, Information Technology, Engineering, Business, or related field AND 4+ 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
  • OR Master's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 7+ years experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting
  • OR equivalent experience
• 7+ years experience working in a customer-facing role (e.g., internal and/or external).
• 7+ years experience working on technical projects
• Technical Certification in Cloud (e.g., Azure, Azure Data Plaftorm, Power BI, Amazon Web Services, Google, security certifications).
• Technical experience and knowledge in Enterprise-scale technical experience with On-premises, cloud and hybrid infrastructures, architecture designs, migrations, and technology management. Have and develop proficiency in:
  • SQL Server technologies
  • Azure Databases (Azure SQL, Azure Postgres SQL, Azure MySQL, Cosmos DB)
  • Power BI
  • Microsoft Fabric (Fabric DW, Real-Time Intelligence, OneLake, Data Integration, Data Engineering, Copilot, Data Science)
  • Azure Databricks
  • Microsoft Purview
  • Azure AI Foundry

You will understand customers’ overall data estate Business and IT priorities and success measures to design Data & Analytics solutions that drive business value and drive positive Customer Satisfaction & become a trusted advisor.

• You will ensure that solution exhibits high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment and provide feedback and insights from customers/partners.
• You will develop opportunities to drive Customer Success business results & help Customers get value from their Microsoft investments and identify resolutions to Customer blockers by leveraging subject matter expertise. Deliver according to MS best practices & using repeatable Intellectual Property (IP).
• You will apply technical knowledge to architect and design solutions that meet business and IT needs, create Data & Analytics roadmaps, drive Proof of Concepts (POC) and Minimal Viable Product (MVP), and ensure long term technical viability of new deployments, infusing key AI technologies where appropriate.
• You will be the Voice of Customer to share insights and best practices, connect with Engineering team to remove key blockers and drive product improvements.
  
• You will accelerate customer outcomes - Share expertise, contribute to IP creation & re-use to accelerate customer outcomes and obtain relevant accreditations and certifications. Proactively identify gaps through delivery and communicating those gaps to others (e.g., Leadership, managed intellectual property [MIP], Design, and Governance). Applies subject matter expertise to develop new IP that fills identified gaps

Technical leadership

• Design the solution using your Data Platform technical knowledge, architectural approach, consultancy skills and our methodology to win a customer’s technical decision and meet the customer’s needs; drive proof of concepts (POCs)/production deployments to create momentum for MVPs, infusing key AI technologies where appropriate and being technically proficient to do POC with hands-on-skills.
• Data Platform technologies, including SQL Server, Azure SQL Database, and Azure Cosmos DB, as well as Analytics, Data Warehousing, and Data Engineering scenarios. Focus on Intelligent Data and Analytics Platforms such as Synapse, Lakehouse architecture, Fabric, Azure Databricks, and Power BI. Stay informed on market trends and competitive insights and actively collaborate and share knowledge within the Data & AI technical community.
• Experience in Azure architecture design, Azure IaaS, Azure SQL Database, Azure SQL Managed Instance, High Availability, service resilience and distributed systems.
  Experience as a Database Administrator, data platform design, SQL Server at scale, on-premises to Azure migrations, complex SQL Server troubleshooting, performance tuning and optimization, scaling OLTP and OLAP workloads, and securing SQL Server on-premises or in Azure
• Experience with High Availability/Disaster Recovery solutions such as Failover Clustering, Database Mirroring, Always-On Availability Groups, and Replication
  Use trace analysis, debug skills, source code, and other proprietary tools, to analyze problems and develop solutions to meet customer needs; this may involve writing code
• Consultative experience along with presentation skills with a high degree of comfort with both large and small audiences
• Leverages development opportunities (e.g., mentorships, role-based resources, trainings, internal events such as Ready, Build, Ignite) to learn new technologies or services.
• Learns to identify and communicate areas in intellectual property (IP) that need refreshing or have gaps. Contributes to IP development with guidance/supervision.