דרושים Asean Csa Lead - Azure Data ב-Microsoft ב-Taiwan, Taoyuan City

At Small Medium Enterprises and Channel (SME&C), we are leading a high-growth, AI-powered global sales team—one that is deeply connected to our partners and driven by customer success. By uniting our Small Medium Business, Corporate, Strategy, and Partner teams, we are unlocking the largest customer opportunity, backed by the industry’s most significant investments. Leveraging the power of AI and our extensive partner ecosystem, we are redefining how businesses of all sizes adopt technology to drive growth and innovation. SME&C is more than a sales organization—a culture of innovation, opportunity, and inclusivity. Here,be part of a diverse, high-performing, and customer-obsessed team where collaboration, connection, and continuous learning fuel everything we do. If you thrive in a fast-paced, digital-first environment and are eager to make a meaningful impact, explore how SME&C can be the next step in your career. Together, we arethe future of business.

looking for a Cloud Solution Architect (CSA) who specializes in data platforms and analytics to help customers build secure, scalable, and AI-ready solutions on Microsoft Azure. In this customer-facing role,deliver engagements that span architecture design, proof of concepts, and production deployments, ensuring performance, resiliency, and security across mission-critical workloads. As part of the Cloud + AI Data team,existing Repeatable IP and execution engines with accountability to drive delivery excellence, accelerate adoption, and ensure a successful deployment for the customer for services like Microsoft Fabric, Azure Databricks, Cosmos DB, and Purview.collaborate with engineering teams, share best practices, and stay current with evolving trends to help customers unlock the full value of their data and AI investments.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. Aswe come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Required Qualifications (RQs)

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 4+years experiencein 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 Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 8+years experiencein cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting

• Master's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 6+years experiencein cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting

• OR equivalent experience

• yearsexperienceworking in a customer-facing role (e.g.,internaland/or external).

• yearsexperienceworking on technical projects

• Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications)

Required Technical Qualifications:

• 5+ years of experience in cloud solution architecture with a focus on data platforms.

• expertisewith:

• Azure SQL (single database, managed instance, SQL Server on VM)

• Azure Synapse Analytics

• Azure Data Lake Storage Gen2

• Azure Cosmos DB

• Azure Database for PostgreSQL and MySQL

• Proven success in migrating and modernizing data platforms to Azure.

• Strong understanding of:

• ETL/ELT pipeline design using Azure Data Factory

• Data ingestion frameworks (Event Hubs, Stream Analytics)

• Data governance with Microsoft Purview

• Deep knowledge of performance tuning, high availability, and backup strategies.

• in Lakehouse, Warehouse, and Real-Time Intelligence workloads.

• Experience withOneLakeintegration, Fabric Notebooks, and KQL database connectivity.

• Familiarity with Fabric certifications (Data Engineer Associate, Analytics Engineer Associate).

Azure Databricks Expertise:

• Advanced skills in Azure Databricks for data engineering and machine learning.

• Experience with Unity Catalog, Delta Lake, andMLflow.

• Ability to integrate Databricks with Microsoft Fabric for unified analytics.

• Knowledge of Databricks Platform Architect Accreditation.

• • 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.
  • Identifyand resolve technical blockers, share customer feedback with engineering teams, and influence product improvements through Voice of the Customer insights.
  • Maintain deep technicalexpertiseand 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-levelproficiencyin 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.

• Bachelor's Degree in Computer Science or Information Technology.
• Technical experience in network design, development, and automation.
• Proven experience in TCP/IP BGP, MPLS.
• Experience working with Python/Go/Rust.

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Technical experience in network design, development, and automation
  • or related field.
  • OR Master's Degree in Electrical Engineering, Optical Engineering, Computer Science, Information Technology, or related field AND technical experience in network design, development, and automation
  • OR Doctorate Degree in Electrical Engineering, Optical Engineering, Computer Science, Information Technology, or related field.
• Network engineering experience in a cloud provider, internet service provider, or large enterprise environment.
• Professional software development experience in the networking domain, including proficiency in C#, Python, Go, REST, YAML, and workflow systems.

• Offers modification and improvements to network technologies based on existing and emerging industry knowledge to contribute to the design, implementation, and operation of reliable, scalable, and high-performance networks.
• Works in collaboration with teams across a single organization to develop reliable, scalable, and high-performance, network designs; independently produces design documents and implementation plans.
• Partners with Engineering and Program Management teams to understand customer, business, and technical requirements to propose network designs or modifications to architecture;participatesin architecture reviews to ensure designs and modifications meet all functional, performance, scale, and compliance requirements.
• Influencestelemetry analytics designs to betteridentifypatterns that reveal errors and unexpected problems;leveragesan understanding of network architectures and infrastructure at scale to develop, measure, track, and improve the quality of telemetry pipelines that support automated monitoring and incident response.
• Develops process or technology solutionsthat proactivelyresolve issues with processes, physical network devices, and/or tooling.
• Makes optimaluse of infrastructure and resources through simple designs and byleveraging

At , we believe machine learning and artificial intelligence has the potential to transform scientific modelling and discovery crucial for solving the most pressing problems facing society including sustainable materials and discovery of new drugs.

Required:

• PhD or equivalent experience in Computer Science, Machine Learning, Applied Mathematics, Computational Biology, or related field.
• Strong software engineering in Python (packaging, testing, CI), with systems thinking for data‑intensive ML.
• Deep learning experience (PyTorch/JAX/TensorFlow) and solid foundations in linear algebra, probability, and statistics.
• Proven experience designing robust data pipelines for large‑scale ML (HPC or cloud).
• Ability to reason about learning signal and to assess information content of real‑world scientific datasets.
• Excellent collaboration and communication in interdisciplinary teams.

Preferred:

• Hands‑on cryo‑EM experience (e.g., map reconstruction, refinement, or pipeline tooling).
• CUDA or C++ for performance‑critical components; experience with mixed precision and memory‑efficient training.
• Experience integrating experimental data into ML models (e.g., constraints/priors from cryo‑EM, binding assays, spectroscopy).
• Familiarity with MD data, structure prediction systems, or protein design work-flows.
• Experience with cost‑optimization for data collection and cloud utilization; clear track record of building reliable, maintainable research software at scale.
• Experience with structural biology or molecular biology data/techniques (e.g., cryo‑EM, binding assays, spectroscopy, expression, sequencing)

• Data integration for structure & dynamics: Build ingestion/curation pipelines for structural/biophysical data (mmCIF/PDB, EM maps/particles, binding/biophysics, spectroscopy); implement map/volume preprocessing (e.g., resolution filtering, normalization) and alignment to model inputs/outputs.
• Cryo‑EM expertise: Operationalize end‑to‑end flows from raw image stacks/particles to 3D maps and model‑ready tensors; interoperate with community formats (e.g., EMDB/EMPIAR, mmCIF) and link to sequences/annotations.
• Signal & information content: Design dataset diagnostics (e.g., mutual‑information‑like measures, effective sample size, SNR proxies) to quantify what data teach the model; build active‑learning loops that maximize learning per euro of data collection time.
• Model‑aware data services: Implement scalable, versioned data services and feature stores that feed training/evaluation; design loaders/augmentations optimized for throughput and correctness (GPU‑aware).
• Training‑at‑scale engineering: Own distributed data pipelines and orchestration for large runs on Azure; profile and tune I/O, storage tiers, data locality, and caching; monitor cost, utilization, and failure modes.
• Quality, governance, and reproducibility: Codify schemas/ontologies, metadata contracts, unit/integration tests, and lineage; automate validation and data drift detection; maintain documentation and examples.
• Partner across disciplines: Work closely with ML researchers, structural biologists, and drug designers; translate experimental constraints into robust computational workflows; communicate clearly and proactively.

As part of the Cloud + AI Data team, you’ll leverage existing Repeatable IP and execution engines with accountability to drive delivery excellence, accelerate adoption, and ensure a successful deployment for the customer for services such as Microsoft Fabric, Azure Databricks, OpenAI, Cosmos DB, Purview. You’ll collaborate with different teams across Microsoft, share best practices, and stay current with evolving trends to help customers unlock the full value of their data and AI investments.

Your Role and Impact:

• Strategic Guidance: Engage with customers & partners to understand their goals and challenges, then provide strategic solutions that maximize the value of their Microsoft technology investments.
• Technical Leadership: Lead in-depth technical discussions, offering insights and recommendations to overcome complex challenges in data and AI initiatives both On-premises (SQL Server) as well as in Azure.
• Empowering Customers & Partners: Support customers & Partners in achieving successful outcomes by developing tailored solutions that drive their digital transformation and innovation.
• Continuous Growth: Leverage this opportunity to advance your career while enhancing your knowledge and skills in cutting-edge cloud technologies.

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

• 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)

Required Qualifications:

• Proven years years technical pre-sales or technical consulting experience
• Expert in Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernize and creating new AI apps OR Equivalent experience.
• Expert in Azure Analytics (Fabric, Azure Databricks, Purview) OR competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligent, and reporting using integrated Data Security & Governance.
• Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes.

Preferred Qualifications:

• Degree in Computer Science, Information
• Several years technical pre-sales, technical consulting, or technology delivery, or related experience
• Proven years experience with cloud and hybrid, or on premises infrastructure, architecture designs, migrations, industry standards, and/or technology management
• Proficient on data warehouse & big data migration including on-prem appliance (Teradata, Netezza, Oracle), Hadoop (Cloudera, Hortonworks) and Azure Synapse Gen2.
• Proficiency in Danish is preferred.

• Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
• Lead hands-on engagements—hackathons and architecture workshops—to accelerate adoption of Microsoft’s cloud platforms.
• Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions
• Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
• Maintain deep expertise in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL.
• Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions.
• Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums

We are the key Azure Artificial Intelligence (AI) Services-Azure AI Speech Services—dedicated to seamlessly integrating Speech AI into everyday experiences. Wewith an urgency of responsibility and ethics, a customer-first mindset, and a drive to advance Microsoft’s AI platform and business.

Our work spanstechnologies including speech recognition, speech and video translation, text-to-speech (TTS), TTS avatars. These capabilities power a wide range of Microsoft and partner products—from agentic applications and software as a service (SaaS) solutions like Office, Teams, and Dynamics, to Azure-connected devices, internet of things (IoT), and ambient computing.

hiring aProduct Manager todrive the product manageour innovative speech product in the Indian market.

.You will have a major career opportunity to take a large, at-scale platform and deliver it to millions ofcustomers.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our sharedgoals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

our culture every day.

Required Qualifications:

• A minimum of aBachelorsdegree in Computer Science, or a related field, or equivalent alternative education, skills, and/or practical IT work experience isrequired.

• 5+ years of working experience on AI product management

Preferred Qualifications:

• Ability todemonstrate

• Great communication

• Ability to work and build strong relationships with senior managers, leaders,partnersand customers

• The aptitude to engage a wide range of internal and external stakeholders; from end users to senior management/executives

• Display skills in planning and project management

• Demonstrated ability in discerning and addressing relevant challenges to delivery

• Must be able to work independently, handle multiple projects in a fast-paced environment, and negotiate and collaborate effectively

• customerand market trends

• Define and drive product vision and strategy across a full stack of collaborators—from customers to engineers and researchers.

• Own the product strategy for LLM modelfine tuning and supporting multilingual speech LLM inalignment with customer and business needs

• Engage with Indian customers by working closely with the field team to gather insights, address customer needs, and ensure our product offerings align with market demands

• Partner closely with engineering to prioritize the roadmap, deliver high-impact features, and solve complex problems with clarity and creativity.

• Champion product quality and AI excellence, ensuring our services are responsible, reliable, and delightful to use.

• Keep stakeholders aligned and informed, fostering confidence and clarity across internal teams and leadership.

• Embody ourand.