Implementation Engineer, Observe

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At Snowflake , we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake , your role isn't just to execute a function, but to help redefine the future of how work gets done. Observe by Snowflake is a high-growth SaaS observability platform built on the Snowflake AI Data Cloud, enabling businesses to troubleshoot modern distributed applications 10x faster. Now, as a core part of Snowflake , we’ve reached a major milestone in the evolution of the Snowflake platform. By bringing AI-powered observability directly into the Snowflake ecosystem, we’ve created the first truly unified platform for telemetry and business data. We’re looking for an Implementation Engineer to help enterprise customers successfully deploy, configure, and operationalize Observe. This is a hands-on, post-sales technical role focused on delivering strong first outcomes, accelerating time-to-value, and establishing a solid foundation for long-term customer success. Implementation Engineers are deeply technical, customer-facing practitioners who work closely with customer platform, SRE, DevOps, and application teams during onboarding and early adoption. In this role, you’ll translate existing observability architectures (including OpenTelemetry-based pipelines, Splunk, ELK, and other monitoring solutions) into scalable, production-ready implementations on Observe—using best practices while balancing speed, quality, and customer enablement. Implementation Engineers focus on initial deployments and time-to-value . They set the technical foundation and tone for the customer relationship by ensuring early success, sound architecture, and a clear path forward. Once customers are live and operational, Observability Engineers and Architects build on this foundation—driving deeper adoption, new use cases, and long-term value. What You’ll Do Lead structured implementations for enterprise customers, from kickoff through initial production readiness Design and configure telemetry ingestion pipelines across logs, metrics, and traces, including parsing, enrichment, normalization, and routing Work hands-on with OpenTelemetry instrumentation and collectors, helping customers adopt modern, vendor-neutral observability standards Migrate and modernize existing observability environments (e.g., Splunk, ELK, cloud-native monitoring tools) into Observe Configure datasets, dashboards, alerts, and core observability assets aligned to customer use cases Establish implementation plans, milestones, and success criteria in partnership with customers Deliver practical, hands-on guidance that enables customers to become self-sufficient on the platform Identify technical risks, data quality issues, or architectural gaps early and proactively address them Capture implementation patterns, best practices, and reusable assets to improve consistency and scalability across the team Collaborate closely with Observability Engineers, Architects, Support, Product, and Engineering to ensure smooth transitions and ongoing success What You’ll Bring 5+ years of experience in customer-facing technical roles such as implementation engineer, solutions architect, technical consultant, or SRE Strong hands-on experience with observability platforms and telemetry pipelines Practical experience with OpenTelemetry (instrumentation, collectors, exporters, pipelines) Experience working with one or more commercial or open-source observability solutions (e.g., Splunk, ELK/Elastic, Datadog, New

在Snowflake，我们正在推动代理型企业时代的发展。为了迎接这个新时代，我们在各个职能中寻找AI原生思考者，他们因有机会重塑自己的工作方式而充满活力。你不仅仅使用工具；你拥有与生俱来的好奇心，将AI视为高信任度的协作者，它是你解决问题和加速影响力的核心。我们寻找低调谦逊、在动态且快速变化的环境中茁壮成长、以实验心态行动的人——他们快速测试新兴能力，以发现更简单、更强大的交付成果方式。在Snowflake，你的角色不仅仅是执行某项职能，而是帮助重新定义工作完成方式的未来。Observe by Snowflake是一个高增长的SaaS可观测性平台，构建在Snowflake AI Data Cloud之上，使企业能够以10倍速度排查现代分布式应用问题。现在，作为Snowflake的核心部分，我们已在Snowflake平台的演进中达到一个重大里程碑。通过将AI驱动的可观测性直接引入Snowflake生态系统，我们创建了首个真正统一的遥测和业务数据平台。我们正在寻找一名实施工程师，帮助企业客户成功部署、配置和运营Observe。这是一个动手实践的售后技术角色，专注于交付强有力的首批成果、加速实现价值的时间，并为长期客户成功奠定坚实基础。实施工程师是深度技术型、面向客户的实践者，在入职和早期采用期间与客户平台、SRE、DevOps和应用团队密切合作。在这个角色中，你将把现有的可观测性架构（包括基于OpenTelemetry的管道、Splunk、ELK和其他监控解决方案）转化为在Observe上可扩展、生产就绪的实施——使用最佳实践，同时平衡速度、质量和客户赋能。实施工程师专注于初始部署和价值实现时间。他们通过确保早期成功、合理架构和清晰的前进路径，为客户关系奠定技术基础和基调。一旦客户上线并投入运营，可观测性工程师和架构师将在此基础上继续推进——推动更深入的采用、新用例和长期价值。你将做什么：领导企业客户的结构化实施，从启动到初始生产就绪；设计和配置跨日志、指标和追踪的遥测摄取管道，包括解析、丰富、规范化和路由；亲自动手使用OpenTelemetry插桩和收集器，帮助客户采用现代、厂商中立的可观测性标准；将现有可观测性环境（例如Splunk、ELK、云原生监控工具）迁移并现代化到Observe；配置数据集、仪表板、告警和核心可观测性资产，以对齐客户用例；与客户合作制定实施计划、里程碑和成功标准；提供实用、动手的指导，使客户能够在平台上实现自给自足；及早识别技术风险、数据质量问题或架构差距，并主动解决；捕获实施模式、最佳实践和可复用资产，以提高团队一致性和可扩展性；与可观测性工程师、架构师、支持、产品和工程团队密切合作，确保平稳过渡和持续成功。你将带来：5年以上面向客户的技术角色经验，例如实施工程师、解决方案架构师、技术顾问或SRE；在可观测性平台和遥测管道方面具有丰富的动手经验；具有OpenTelemetry（插桩、收集器、导出器、管道）的实践经验；具有一种或多种商业或开源可观测性解决方案的经验（例如Splunk、ELK/Elastic、Datadog、New

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