数据转型工程经理
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Engineering Manager, Data TransformationStripe · US-SEA, US-SF, US-NYC, US-Remote
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职位描述
机器翻译我们是谁
关于 Stripe
Stripe 是一个面向企业的金融基础设施平台。数百万家公司——从全球最大的企业到最有抱负的初创公司——都在使用 Stripe 来接受付款、增长收入并加速新的商业机会。我们的使命是提升互联网的 GDP，而我们面前还有大量工作要做。这意味着你拥有一个前所未有的机会，在从事你职业生涯中最重要的工作的同时，让全球经济触手可及。
关于团队
数据转换团队负责为 Stripe 的 400 多个产品团队构建和运营批处理与实时转换管道和平台。我们的目标是让 Stripe 的数据开发和管理工作流变得轻而易举，重点在于产出用于 Stripe 关键分析、仪表盘和工作流的高质量数据集。该团队拥有的产品被广泛采用，每周有 800 多名活跃用户，成倍提升了数据用户的开发者生产力。该团队正处于一个有趣的创新阶段，这与 Stripe 的最高优先级紧密相关，即构建并执行流式转换、增量处理和符合人体工程学的数据建模的战略路线图。
我们赋能从数据科学家到构建管道的工程师等各类用户，帮助他们打造卓越的 Stripe 产品体验，同时为 Stripe 的关键仪表盘、分析和流程提供强大的转换平台，包括面向用户的报告产品 Sigma 和 Radar。
我们采用开源技术和自研软件相结合的方式，以确保我们的转换产品具备高可扩展性、可靠性和可用性。关键技术示例包括 Spark、Airflow、Iceberg、Hive、S3、SQL、Python、Scala、GRPC、Kafka 和 FlinkSQL。
你将做什么
作为数据转换团队的工程经理，你将领导一支工程师团队，与基础设施
岗位职责
作为数据转换团队的工程经理，你将领导一支工程师团队，与基础设施和产品工程组织协作，并推进数据转换路线图及其在 Stripe 的采用。你将推动 Stripe 最高优先级的关键工作流，围绕为 Stripe 产品和 AI 代理交付高质量、物化的数据集。
• 交付可随用户需求扩展的基础设施和服务，同时关注可靠性和效率
• 领导和管理一支工程师团队，提供指导、辅导和支持以确保他们的成功
• 与高关注度团队及其利益相关者合作，支持关键的基础设施工程计划
• 理解用户需求和痛点，以确定工程工作的优先级，并交付满足这些需求的高质量解决方案
• 推动项目执行，监督从规划到交付的整个开发生命周期，同时保持高质量标准并按时完成
• 为你的下属提供亲身实践的技术领导（架构和设计、愿景、方向、需求设定和事件响应流程）
• 与公司各领导者合作，制定并推动数据转换路线图的长期愿景
• 营造协作和包容的工作环境，在团队内促进创新、知识共享和持续改进
• 与我们的招聘团队合作，吸引并招聘顶尖人才，并为你的团队制定整体招聘策略
任职要求
我们在寻找符合该职位最低要求的人选。如果你符合这些要求，我们鼓励你申请。优先资格是加分项，而非要求。
最低要求
• 3 年以上管理团队的经验，这些团队交付并运营了数据管道和关键分布式系统基础设施
• 成功招聘并打造了优秀的团队
• 强烈的客户导向，致力于投入与其他 Stripe 工程师的合作关系，以建立同理心并理解他们的用例
• 能有效进行跨职能工作，并能够严谨思考、有效沟通，并做出或协调艰难决策和权衡
• 在模糊环境中凭借高度自主性和责任感蓬勃发展
• 具备技术敏锐度，能够与资深工程师就架构和技术战略决策达成清晰共识
• 鼓励健康且包容的工作环境，既富有挑战性又给予支持
• 管理过向数据用户交付产品并运营大规模、高可用性数据转换管道的团队，并具备 Kafka、Flink、Spark、Airflow、Python、SQL 和 API 设计方面的专业知识
• 真正享受学习并深入探究事物运作的具体细节，具备质疑和指导架构决策的能力
• 针对不同受众（领导层、用户、全公司）具备出色的书面和口头沟通能力
以上内容由机器翻译自动生成，可能存在错误；投递前请以雇主原文为准。
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职位描述
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
About the team
The Data Transformation team is responsible for building and operating batch and real-time transformation pipelines and platforms for 400+ product teams at Stripe. We're aiming to make data development and management workflow at Stripe a breeze with emphasis on producing high-quality datasets used for critical analytics, dashboards, and workflows at Stripe. The products owned by this team are widely adopted with 800+ weekly active users improving developer productivity for data users manifold. The team is in an interesting phase of innovation tied to the topmost priority for Stripe, building and executing the strategic roadmap for streaming transformation, incremental processing, and ergonomic data modeling.
We empower our users ranging from data scientists to engineers building pipelines to create exceptional Stripe product experiences while providing a robust transformation platform for critical dashboarding, analytics, and workflows at Stripe including user-facing reporting products Sigma and Radar.
We adopt a combination of open-source technologies and in-house-built software to ensure high scalability, reliability, and usability of our transformation offerings. Key example technologies include Spark, Airflow, Iceberg, Hive, S3, SQL, Python, Scala, GRPC, Kafka, and FlinkSQL.
What you'll do
As an Engineering Manager of the Data Transformation team, you'll lead a team of engineers, collaborate with infrastructur
岗位职责
As an Engineering Manager of the Data Transformation team, you'll lead a team of engineers, collaborate with infrastructure and product engineering orgs, and advance the Data Transformation roadmap and adoption at Stripe. You'll drive critical workstreams for the topmost priorities at Stripe around delivering high-quality, materialized datasets for Stripe products and AI agents.
• Deliver infrastructure and services that scale to our users' needs with an eye on reliability and efficiency
• Lead and manage a team of engineers, providing mentorship, guidance, and support to ensure their success
• Work with high-visibility teams and their stakeholders to support key infrastructure engineering initiatives
• Understand user needs and pain points to prioritize engineering work and deliver high-quality solutions that meet those needs
• Drive the execution of projects, overseeing the entire development lifecycle from planning to delivery, while maintaining high standards of quality and timely completion
• Provide hands-on technical leadership (architecture and design, vision, direction, requirements setting, and incident response processes) for your reports
• Work with leaders across the company to create and drive toward the longer-term vision of the Data Transformation roadmap
• Foster a collaborative and inclusive work environment, promoting innovation, knowledge sharing, and continuous improvement within the team
• Partner with our recruiting team to attract and hire top talent and define the overall hiring strategies for your team
任职要求
We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
• 3+ years of experience managing teams that shipped and operated data pipelines and critical distributed system infrastructure
• Successfully recruited and built great teams
• Strong customer focus, committed to investing in partnerships with other Stripe engineers to establish empathy and understand their use cases
• Works effectively cross-functionally and is able to think rigorously, communicate effectively, and make or coordinate hard decisions and trade-offs
• Thrives with a high degree of autonomy and responsibility in an ambiguous environment
• Technical acumen to drive clarity with staff engineers about architecture and technical strategic decisions
• Encourage a healthy and inclusive work environment that's both challenging and supportive
• Managed teams that shipped products to data users and operated large-scale, high-availability data transformation pipelines, with expertise in Kafka, Flink, Spark, Airflow, Python, SQL, and API design
• A genuine enjoyment of learning and diving into the nuts-and-bolts of how things work, with the ability to question and direct architectural decisions
• Strong written and verbal communication skills for different audiences (leadership, users, company-wide)