锦鲤求职岗位描述
我们正在寻找一位资深的解决方案架构师，以构建 SGS SMART 的长期架构，使其成为一个可扩展、可扩展性强且具有商业可行性的平台。
We are looking for a Senior Solution Architect to shape the long-term architecture of SGS SMART as a scalable, extensible, and commercially viable platform.
该职位不仅需要负责在应用程序、集成、数据和分析等方面定义合理的解决方案，还要制定架构规则，使平台能够持续演进而不陷入碎片化的定制开发。
This role is not only responsible for defining sound solutions across applications, integrations, data, and analytics, but also for setting architectural rules that allow the platform to grow without degrading into fragmented custom development.
理想的候选人应具备强大的系统思维能力和务实的执行能力，了解平台和生态系统设计，并能够将业务模式转化为可持续的技术边界。
The ideal candidate combines strong systems thinking with pragmatic execution, understands platform and ecosystem design, and can translate business models into sustainable technical boundaries.
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Key Responsibilities
1. 平台与生态系统架构
Platform & Ecosystem Architecture
• 确定 SGS SMART 在应用程序、服务、集成、接口以及端到端数据流方面的整体解决方案架构；
Define the overall solution architecture for SGS SMART across applications, services, integrations, interfaces, and end-to-end data flows.
• 设计平台的扩展规则，包括平台核心、合作伙伴服务和零售商特定定制之间的明确架构界限；
Design the rules of extension for the platform, including clear architectural boundaries between the platform core, partner services, and retailer-specific customizations.
• 建立可扩展的扩展模式，如插件合同、API 生命周期和版本控制原则以及服务上架标准，以支持生态系统增长并避免不受控制的定制集成；
Establish scalable extension patterns such as plug-in contracts, API lifecycle and versioning principles, and service onboarding standards to support ecosystem growth without uncontrolled custom integrations.
• 确保架构决策支持长期平台的可持续性、可维护性，以及在全球与本地业务场景中的复用能力。
Ensure architecture decisions support long-term platform sustainability, maintainability, and reuse across both global and local business scenarios.
2. 数据产品与分析架构
Data Product & Analytics Architecture
• 定义可扩展的数据模型、分析架构和治理原则，将数据视为产品，而非交易的副产品；
Define scalable data models, analytical architectures, and governance principles that treat data as a product rather than a by-product of transactions.
• 设计多租户和零售商分区的数据结构，明确中央数据、零售商自有数据及共享跨网络洞察层之间的规则；
Design multi-tenant and retailer-partitioned data structures with clear rules for central data, retailer-owned data, and shared cross-network insight layers.
• 制定共享与私有指标、分析语义层以及数据所有权边界，以支持可信报告、未来可变现洞察以及 AI/分析应用场景；
Shape shared versus private metrics, analytical semantic layers, and data ownership boundaries to enable trusted reporting, future monetizable insights, and AI / analytics use cases.
• 确保架构基础支持数据质量、可追溯性、数据隔离以及可信的下游分析能力。
Ensure architectural foundations support data quality, traceability, segregation, and trusted downstream analytics.
3. 企业到技术的转换
Business-to-Technology Translation
• 将产品、服务和业务模式需求转化为可扩展的架构决策，尤其适用于客户与零售商门户场景；
Translate product, service, and business model requirements into scalable architectural decisions, especially for customer and retailer portal scenarios.
• 在交付速度与长期复用、零售商差异化与平台标准化、本地优化与全球一致性之间进行平衡权衡；
Make balanced trade-offs between speed and long-term reuse, retailer differentiation and platform standardization, and local optimization versus global consistency.
• 提供清晰的架构建议，明确哪些能力应构建在平台核心中，哪些应保持可配置、集成或外部化；
Provide clear architectural recommendations on what should be built into the platform core versus what should remain configurable, integrated, or external.
• 通过明确的架构边界和可复用能力，支持服务打包和平台商业化逻辑。
Support service packaging and platform monetization logic through well-defined architectural boundaries and reusable capabilities.
4. 架构领导力与交付支持
Architecture Leadership & Delivery Support
• 在早期验证产品需求和技术变更的技术可行性，识别约束、依赖关系及潜在架构影响；
Validate the technical feasibility of product requirements and proposed changes early, identifying constraints, dependencies, and architectural implications.
• 基于业务价值、可扩展性、可维护性和成本考量，选择合适的技术、设计模式和架构方法；
Select appropriate technologies, design patterns, and architectural approaches based on business value, scalability, maintainability, and cost considerations.
• 在交付过程中为开发团队提供架构指导和设计评审，确保技术一致性和整体架构完整性；
Provide design guidance and architecture reviews to development teams throughout delivery to ensure consistency and technical integrity.
• 在不确定或模糊情境下推动决策清晰化，并在需要时通过架构草图、原型、技术模型或演示等可视化成果加速决策。
Drive clarity and progress in ambiguous situations and, where needed, create visible outputs such as architecture sketches, prototypes, technical models, or demos to accelerate decision-making.
5. 风险、质量与治理
Risk, Quality & Governance
• 尽早识别并缓解架构层面的风险，包括复杂度、可扩展性、性能、安全性、可运维性、数据质量及集成可持续性问题；
Identify and mitigate architecture risks early, including issues related to complexity, scalability, performance, security, operability, data quality, and integration sustainability.
• 确保架构与企业整体架构原则、全球 IT 标准，以及中国与全球相关方的实际交付情况保持一致；
Ensure alignment with enterprise architecture principles, global IT standards, and practical delivery realities across China and global stakeholders.
• 在真实产品环境中推进规范化的架构治理，同时保持务实、以交付结果为导向的工作方式。
Promote disciplined architecture governance while remaining pragmatic and delivery-oriented in a live product environment.
我们希望你
What We’re Looking For
1. 必备能力
Must-Have Capabilities
• 具备覆盖应用架构、集成架构、数据架构和分析架构的系统性思维能力；
Strong systems thinking across application architecture, integration architecture, data architecture, and analytics architecture.
• 拥有 API 优先设计、事件驱动架构及可扩展集成模型的实践经验；
Proven experience with API-first design, event-driven patterns, and scalable integration models.
• 深刻理解平台或 SaaS 环境中的多租户架构和数据建模；
Strong understanding of multi-tenant architecture and data modeling in platform or SaaS environments.
• 能在可扩展性、性能、灵活性、交付速度和长期可持续性之间做出清晰权衡；
Ability to make clear trade-offs across scalability, performance, flexibility, delivery speed, and long-term sustainability.
• 具备清晰的架构边界意识，并能有效防止平台无序扩张；
Strong architectural boundary awareness and the judgment to prevent platform sprawl.
• 能够尽早识别架构和交付风险，并在其演变为结构性问题前主动应对；
Ability to identify architecture and delivery risks early and act before they become structural problems.
• 具备跨产品、工程、IT、数据及业务团队的优秀沟通与协作能力；
Strong communication and collaboration skills across product, engineering, IT, data, and business stakeholders.
• 工作风格务实、以结果为导向，能够独立产出原型、解决方案模型或关键决策文档等可视化成果。
Pragmatic, outcome-oriented working style with the ability to independently create visible outputs such as prototypes, solution models, or decision artifacts.
2. 差异化因素
Differentiators
• 具备可扩展平台、市场平台或生态型 B2B / B2B2C 产品的设计经验；
Experience designing extensible platforms, marketplaces, or ecosystem-based B2B / B2B2C products.
• 有数据与分析平台相关经验，包括语义层、特征工程或 AI 驱动的产品架构；
Exposure to data and analytics platforms, including semantic layers, feature engineering concepts, or AI-enabled product architecture.
• 能通过轻量级原型或技术验证方案快速构建并验证架构思路；
Ability to quickly sketch and validate architecture options through lightweight prototypes or technical proof points.
• 具备在全球交付环境下工作的经验，并能与中国及国际团队高效协作。
Experience working in global delivery environments and collaborating across China and international teams.
3. 优先背景条件
Preferred Background
• SaaS 平台或多租户系统设计经验；
SaaS platform or multi-tenant system design experience.
• 复杂 B2B 或 B2B2C 平台经验，尤其是零售商–供应商或生态型运营模式；
Complex B2B or B2B2C platform experience, especially in retailer–supplier or ecosystem-style operating models.
• 涉及 ERP、外部合作伙伴及多服务域的高集成复杂环境经验；
Integration-heavy environments involving ERP systems, external partners, and multiple service domains.
• 具备数据与分析平台的实际项目经验；
Practical exposure to data and analytics platforms.
• 曾在跨区域、跨文化的全球交付环境中开展工作。
Experience operating in a global delivery context with cross-regional stakeholders.