微软Cloud Solution Architect—Cloud & AI Data
任职要求
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work. Prior work experience in a Consulting/Architecture position within a software and/or services company such as Amazon, VMware, Google, IBM, Oracle desired Bachelor’s degree in computer science, Information Technology, Engineering, Business, or related field AND 12+ 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 8+ years experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting OR equivalent experience 6+ years experience working in a customer-facing role (e.g., internal and/or external). 6+ years experience working on technical projects • 5+ 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. Technical Certifications in Cloud (e.g., Azure, Azure Data Platform, 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. Other Key Requirements • Chinese (Mandarin) language skill at highest proficiency level is a Must have skill. It will be great advantage if applicant knows Cantonese as well as Mandarin. • Advanced written, spoken English level with direct customer facing experience. • Note: Microsoft is unable to sponsor a work visa for this role due to the nature of the role’s job duties. • Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, database migrations, and technology management. • Breadth of technical experience and knowledge, with depth / Subject Matter Expertise in two or more of the following Data Platform and Analytics Cloud solutions : • SQL Server/Database and OSS database (PostgreSQL, MySQL etc) • 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 • Hyperscale • Azure Data Factory • Azure Machine Learning • Azure Open AI • Cognitive services • NoSQL Databases including OSS (Cassandra, Mongo, and HBase etc) • Big Data platform such as Synapse, Snowflake, Big Query, Redshift, Spark • Advanced Analytics including Azure Synapse, Databricks, and visualization tools such as PowerBI, Tableau. • Data Science and Data Engineering including machine learning framework such as PyTorch and scikit-learn. • Streaming, IoT, Real-time analytics • Expertise in data estate workloads like HDInsight, Hadoop, Cloudera, Spark, Python • The technical aptitude and experience to learn new technologies and understand relevant cloud trend • Competitive Landscape: Knowledge of cloud development platforms • Understanding of partner ecosystems and the ability to leverage partner solutions to solve customer needs • Expertise in AI like LLM Preferred
工作职责
• You will develop relationships with key customer IT and business decision makers, to understand their data estate, priorities, and success measures, and design secure, scalable Data & AI solutions that deliver measurable business value. • 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 maintain technical skills and knowledge, keep up to date with market trends and competitive insights; collaborate and share with the AI technical community while educating customers on Azure platform. • 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 • Drive Azure consumption through accurate and complete Azure Consumption Plans and support Unified/Factory delivery models. • Lead technical workshops, build MVPs, and guide customers through production deployments. • Collaborate with internal teams to remove blockers and share customer feedback. • Evangelize Azure technologies within customer, partner, and community ecosystems. • Own the end-to-end technical delivery results, ensuring completeness and accuracy of consumption and customer success plans in collaboration with the Customer Success Account Managers. • Provide delivery oversight and escalation support for key consumption 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. • You will identify resolutions to issues blocking go-live of migration and modernization projects by leveraging Azure Infrastructure technical subject matter expertise and lead technical conversations with customers to drive value from their Microsoft investments and deliver all work according to MS best practices and policies. • You will demonstrate a self-learner mindset through continuous alignment of individual skilling to team/area demands and Customer Success goals as you accelerate customer outcomes and engage in relevant communities to share expertise, contribute to IP creation, prioritize IP reuse and learn from others to help accelerate your customers transformation journey. • 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. 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 analyse 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 • Learns to identify and communicate areas in intellectual property (IP) that need refreshing or have gaps. Contributes to IP development with guidance/supervision. • Demonstrates strong industry knowledge and increases recognition for Microsoft solutions by contributing to and sometimes leading presentations and engagements with external and internal audiences (e.g., Tech Connect, Build, Ignite)
The ideal candidate will have experience in customer-facing roles and success in leading in-depth technical Application development architecture discussions with senior customer executives, Architects, IT Management, and Developers to drive value to our customers and is open to travel to customer site as needed by business. • Understanding Customer/Partner Technical Environment (Insights about Customer/Partner and Industry): Gather customer/partner insights (e.g., feedback around technical preferences, environments, business needs, competitive landscape), and map architecture and digital transformation solutions to customer/partner business outcomes. Adapt business models, plans, and solutions to insights. • Understanding Customer/Partner Technical Environment (Internal Advocacy): Act as the voice of the customer (VOC)/partner by driving new feedback, gaps, blockers, insights, resources, etc. across communities to track, add, and prioritize, using established channels (e.g., UAT/TFT). • Architecture Design and Deployment (Architecture Proposals): Receive and synthesize data about customer/partner business and technical requirements, address them with technical architecture(s), demonstrate and prove those solutions capability and business value through design collaboration sessions with the customer/partner. • Architecture Design and Deployment (Requirements and Constraints): Apply broad technical knowledge across various architecture solutions to meet business and information technology (IT) requirements and resolve identified technical constraints. Help to shape and enhance customers' requirements. • Application Development, Architecture Design and Deployment (Resolving Blockers): Identify, escalate, and work to resolve technical blockers (e.g., changing configurations, sample coding) to accelerate architecture implementations and routes non-technical issues for removal by the appropriate party. • Trusted Advisor (Challenger Mindset): Respectfully challenge customers/partners when going in the wrong direction and escalate appropriately. • Trusted Advisor (Competitor Insights/ Differentiated Value Proposition): Understand the competitor's architecture solutions and identify Microsoft's strengths over competitive solutions to drive conversations with customers/partners and convince them of solution. • Customer Usage: Lead architecture design, resiliency reviews, and technical optimization that result in production deployment application and increase customer business value. Drive efforts to ensure that the customer's environment and applications are well-architected. • Customer Satisfaction – Deliver positive Customer Satisfaction and become trusted advisors to customers by leveraging solution area expertise to enable defined Customer Success Plan outcomes.
• Engage with customer IT and business leaders to understand their application, data, and AI priorities, and design secure, scalable solutions that drive business value and customer satisfaction. • Lead technical engagements across architecture design, Proof of Concepts (POCs), and Minimum Viable Products (MVPs) to accelerate adoption of Azure AI, App Services, GitHub, and data platforms. • Own the end-to-end technical delivery results, ensuring completeness and accuracy of consumption and customer success plans in collaboration with the CSAM. • Drive next best actions and generate incremental pipeline from each engagement, aligning with Unified Enterprise Support (ES) priorities. • Deliver repeatable intellectual property (IP) and contribute to centralized IP development to accelerate deployment and achieve targeted outcomes. • Provide delivery oversight and escalation support for key Factory engagements across AI and App Innovation projects. • Lead the health, resiliency, security, and optimization of mission-critical workloads, ensuring readiness for production-scale AI use cases. • Act as the Voice of the Customer by sharing insights and feedback with engineering teams to influence product improvements and remove adoption blockers. • Support customer skilling through technical workshops, readiness activities, and recommendations that ensure solution performance, maintainability, and reliability. • Maintain deep technical expertise and stay current with Azure, AI, GitHub, and cloud-native development trends, while contributing to internal and external technical communities. • Be accredited and certified to deliver with advanced and expert-level proficiency in priority workloads including Azure AI Foundry, AKS, App Service, Cosmos DB, Azure SQL, PostgreSQL, APIM, and GitHub. • Demonstrate a growth mindset by continuously aligning your skills to customer needs, contributing to knowledge sharing, and mentoring others to accelerate customer outcomes.
• Build trusted relationships with key customer IT decision makers to drive long-term cloud adoption and serve as the Voice of the Customer—sharing insights and removing blockers through collaboration with Microsoft engineering teams. • Lead architectural design sessions and deliver secure, scalable, and resilient infrastructure solutions aligned to customer business goals using frameworks like CAF and WAF. • Own the end-to-end technical delivery results, ensuring completeness and accuracy of consumption and customer success plans in collaboration with the CSAM. • Drive migration and modernization initiatives, including committed proof of concept and production milestones, across infrastructure, data, SAP, and AI workloads. • Ensure customer environments are optimized for health, resiliency, security, and performance—enabling production-scale AI use cases. • Deliver repeatable IP and contribute to centralized IP development to accelerate deployment and achieve targeted outcomes. • Identify and resolve technical blockers to accelerate go-live and ensure delivery excellence across key Factory engagements. • Generate incremental pipeline from each engagement by driving next best actions and aligning with Unified Enterprise Support (ES) priorities. • Maintain technical intensity through continuous skilling and certifications in priority workloads such as Azure SQL, PostgreSQL, AKS, App Service, AVS, SAP (Native + RISE), Windows, Linux and Defender for Cloud. • Engage in technical communities, share best practices, and contribute to knowledge reuse to accelerate customer transformation and success.
• Engage with customer IT and business leaders to understand their application, data, and AI priorities, and design secure, scalable solutions that drive business value and customer satisfaction. • Lead technical engagements across architecture design, Proof of Concepts (POCs), and Minimum Viable Products (MVPs) to accelerate adoption of Azure AI, App Services, GitHub, and data platforms. • Own the end-to-end technical delivery results, ensuring completeness and accuracy of consumption and customer success plans in collaboration with the CSAM. • Drive next best actions and generate incremental pipeline from each engagement, aligning with Unified Enterprise Support (ES) priorities. • Deliver repeatable intellectual property (IP) and contribute to centralized IP development to accelerate deployment and achieve targeted outcomes. • Provide delivery oversight and escalation support for key Factory engagements across AI and App Innovation projects. • Lead the health, resiliency, security, and optimization of mission-critical workloads, ensuring readiness for production-scale AI use cases. • Act as the Voice of the Customer by sharing insights and feedback with engineering teams to influence product improvements and remove adoption blockers. • Support customer skilling through technical workshops, readiness activities, and recommendations that ensure solution performance, maintainability, and reliability. • Maintain deep technical expertise and stay current with Azure, AI, GitHub, and cloud-native development trends, while contributing to internal and external technical communities. • Be accredited and certified to deliver with advanced and expert-level proficiency in priority workloads including Azure AI Foundry, AKS, App Service, Cosmos DB, Azure SQL, PostgreSQL, APIM, and GitHub. • Demonstrate a growth mindset by continuously aligning your skills to customer needs, contributing to knowledge sharing, and mentoring others to accelerate customer outcomes.