微软Architect- D365 F&O
任职要求
• Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field AND 10+ years experience in technology solutions, practice development, architecture, consulting, and/or technology domain of D365 ERP.o OR Master's Degree in Computer Science, Information Technology, Engineering, or related field AND 8+ years experience in technology solutions, practice development, architecture, consulting, and/or technology domain D365 ERP.o OR equivalent experience • Technical Area—D365 Finance & Operations (Proficient in at least two out of Finance, Supply Chain Management, and Manufacturing) • 5+ years managing multiple projects or portfolios • 3+ year(s) experience leading blended, multidisciplinary teams • Proficient in both verbal and written English communication Microsoft is an equal opportunity employer. All …
工作职责
• Business & Solution Architecture• Strong ability to translate complex finance, supply chain, and manufacturing requirements into scalable D365 F&O solution designs, prioritizing standard capabilities and extension patterns over customization. • Experience driving end‑to‑end solution blueprints across modules (Finance, Supply Chain Management, Manufacturing, Procurement, Inventory, Production, Project, Master Planning), integrations, analytics, and operational processes. • Platform & Cloud Architecture• Enterprise‑scale experience with Microsoft SaaS ERP on Azure, including environment topology (Dev/Test/UAT/Prod), high availability/DR considerations, and Lifecycle Services (LCS) for environment management, monitoring, and issue remediation. • Familiarity with One Version update cadence, feature management, hotfix strategy, and regression mitigation practices. • Application Development (X++ / Extensions)• Proficiency in X++, metadata and form patterns, extensions (class/table/form), event handlers, SysOperation framework, batch processing, caching strategies, and set‑based operations. • Understanding of data modeling in F&O: tables, indexes, EDTs, enums, data entities, query framework (Query/QueryBuildDataSource), valid time state tables, and performance‑friendly design. • Data Migration & Data Management• Hands‑on with the Data Management Framework (DMF/DIXF), data entities, configuration data projects, data packages, sequencing, cutover runbooks, and validation. • Experience with Bring Your Own Database (BYOD)/Export to Azure Data Lake for downstream analytics, archival, and operational reporting. • Integrations & Eventing• Practical knowledge of OData/Custom services, Recurring Integrations API, file‑based integrations, Business Events (Azure Service Bus/Event Grid/Webhooks), and Dual‑write with Dataverse. • Design of resilient, secure, and observable integration patterns via Azure services (API Management, Functions/Logic Apps, Service Bus, Key Vault, App Insights). • Analytics & Reporting• Experience with Electronic Reporting (ER) configurations and formats; knowledge of SSRS reports in F&O where required. • Manufacturing & Production Control• Deep understanding of Discrete, Process, and Lean Manufacturing in D365 F&O, including BOMs, routes, resources, production orders, batch orders, Kanban, and shop floor execution. • Experience with Manufacturing Execution System (MES) integration, IoT scenarios, and real‑time production reporting. • Knowledge of Advanced Warehouse Management for raw material and finished goods handling, and integration with production flows. • Familiarity with Master Planning (MRP), demand forecasting, and capacity planning for manufacturing environments. • DevOps & Test Automation• Delivery using Azure DevOps: branching strategies, build pipelines for X++, deployable packages, automated deployments via LCS, and gated update processes. • Test automation with RSAT, SysTest/ATL, and integration into CI/CD for regression coverage; defect triage and requirements traceability. • Security, Compliance & Governance• Role‑based security design (Roles/Duties/Privileges), Segregation of Duties (SoD), audit and monitoring practices; data obfuscation for non‑prod. • Awareness of regulatory and localization features (tax, electronic invoicing/ER, statutory reporting), GDPR/data residency, and internal controls/SOX‑aligned change management. • Tooling & Ecosystem• Visual Studio for F&O, Azure DevOps (Repos/Boards/Pipelines/Test Plans), Power Platform (Power Automate/Power Apps) integration, and ISV solution evaluation/fit‑gap. • Security & Data Protection• Familiarity with encryption, certificate and secret management (Key Vault), API security, least‑privilege access, and auditability across integrations and reporting. • Industry & Best Practices• Up‑to‑date with D365 F&O patterns (extensions over overlayering), form patterns, UX guidelines, telemetry‑driven ops, and Microsoft FastTrack recommendations. Technical Area—D365 Finance & Operations (Proficient in at least two out of Finance, Supply Chain Management, and Manufacturing)
• Lead the solution architecture for Dynamics 365 CRM implementations, ensuring alignment with business objectives and Microsoft best practices. • Design and deliver end-to-end CRM solutions across Sales, Customer Service, Marketing, Field Service, and related modules. • Define integration strategies with ERP systems (e.g., D365 F&O), third-party applications, and Azure services. • Oversee data migration strategies using Data Export Service, Dataflows, and Azure Data Factory. • Implement Power Platform components (Power Apps, Power Automate, Power BI) to extend CRM capabilities. • Ensure security, compliance, and governance across environments, including role-based security and data protection. • Drive DevOps practices for CRM deployments using Azure DevOps pipelines and automated testing. • Collaborate with stakeholders to define functional and technical requirements, ensuring scalability and maintainability. • Provide technical leadership to development teams on customization, configuration, and extension best practices. Technical Area • Dynamics 365 CRM Expertise• Strong knowledge of Sales, Customer Service, Marketing, Field Service modules. • Experience with customization and configuration: entities, forms, views, business rules, workflows, and plugins. • Proficiency in Power Platform: Canvas Apps, Model-driven Apps, Power Automate, Power BI integration. • Development & Integration• Hands-on experience with C#, .NET, JavaScript, and TypeScript for CRM extensions. • Knowledge of Dataverse, OData, Web API, and SDK for custom integrations. • Familiarity with Azure services: Logic Apps, Functions, Service Bus, API Management. • Data & Analytics• Experience with Data Export Service, Azure Synapse, and Power BI for reporting and analytics. • Understanding of data modeling, ETL processes, and data governance. • DevOps & Lifecycle Management• Expertise in Azure DevOps for CI/CD pipelines, solution packaging, and automated deployments. • Familiarity with ALM best practices for Power Platform and CRM. • Security & Compliance• Role-based security, field-level security, and GDPR compliance. • Knowledge of audit and monitoring tools for CRM environments.
Architect, build, and optimize secure and performant AI platform services that power Microsoft Copilot and other next-generation AI scenarios. Provide technical leadership across teams to define long-term architectural direction and drive engineering excellence. Collaborate with infrastructure, platform, product, and research teams to design and deliver scalable, production-grade AI services. Write high-quality, well-tested, secure, and maintainable code and promote high standards across the team. Tackle technically ambiguous or cross-boundary problems, remove roadblocks, and drive delivery across multiple teams or organizations. Lead technical design discussions, mentor senior engineers, and foster a strong engineering culture within the team. Embody Microsoft’s Culture and Values, and help shape the direction of the engineering team and broader organization.
Architect, build, and optimize secure and performant AI platform services that power Microsoft Copilot and other next-generation AI scenarios. Provide technical leadership across teams to define long-term architectural direction and drive engineering excellence. Collaborate with infrastructure, platform, product, and research teams to design and deliver scalable, production-grade AI services. Write high-quality, well-tested, secure, and maintainable code and promote high standards across the team. Tackle technically ambiguous or cross-boundary problems, remove roadblocks, and drive delivery across multiple teams or organizations. Lead technical design discussions, mentor senior engineers, and foster a strong engineering culture within the team. Embody Microsoft’s Culture and Values, and help shape the direction of the engineering team and broader organization.
Architect and implement core infrastructure components, drive technical direction, mentor engineers, and ensure high standards for scalability, security, and performance.