远程工作雷达

工程经理,数据转换

Engineering Manager, Data Transformation

其他限定地区(需当地身份)
公司Stripe
薪资未公开
工作地点US-SEA, US-SF, US-NYC, US-Remote
地域资格限定地区(需当地身份)
时区要求无特别要求
用工类型未标注
发布时间2026-04-13
数据来源Greenhouse
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注意地域限制:该职位明确限定在 US-SEA, US-SF, US-NYC, US-Remote 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

我们是谁

关于 Stripe

Stripe 是一家面向企业的金融基础设施平台。数以百万计的公司——从全球最大的企业到最具雄心的初创公司——使用 Stripe 来接受支付、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,而我们前方有大量工作要做。这意味着你将有机会在职业生涯中从事最重要的工作,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 上的 400 多个产品团队构建和运营批处理和实时转换管道和平台。我们致力于通过强调生产高质量数据集来简化 Stripe 的数据开发和管理流程,这些数据集用于关键分析、仪表板和工作流。该团队的产品已被广泛采用,拥有 800 多名每周活跃用户,显著提升了数据用户的开发效率。该团队正处于一个与 Stripe 最高优先级相关的创新阶段,即构建和执行流式转换、增量处理和易用数据建模的战略路线图。

我们为从数据科学家到构建管道的工程师等用户提供支持,帮助他们创造卓越的 Stripe 产品体验,同时为 Stripe 提供用于关键仪表盘、分析和工作流的稳健转换平台,包括面向用户报告产品 Sigma 和 Radar。

我们采用开源技术和自研软件相结合的方式,确保转换服务的高可扩展性、可靠性和可用性。关键技术包括 Spark、Airflow、Iceberg、Hive、S3、SQL、Python、Scala、GRPC、Kafka 和 FlinkSQL。

你会做什么

作为数据转换团队的工程经理,你将领导一支工程师团队,与基础设施和产品工程组织协作,并推动 Stripe 的数据转换路线图和采用。你将围绕为 Stripe 产品和 AI 代理交付高质量的物化数据集这一最高优先级任务,推动关键工作流。

职责

  • 构建可扩展的基础设施和服务,满足用户需求,同时关注可靠性和效率
  • 领导和管理工程师团队,提供指导、支持和培养,确保他们的成功
  • 与高可见度的团队合作
查看英文原文

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 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.

Responsibilities

  • 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

Who you are

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

Preferred qualifications

  • 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)
本页面信息整理自 Greenhouse,版权归原发布方所有。职位可能随时关闭,投递请以原始页面为准。 本站只做信息聚合展示,不参与招聘流程,也不向求职者收取任何费用。

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