Note: The job is a remote job and is open to candidates in USA. Stripe is a financial infrastructure platform for businesses, aiming to increase the GDP of the internet. The Engineering Manager for the Data Transformation team will lead engineers in building and operating data transformation pipelines, ensuring high-quality datasets for analytics and workflows at Stripe.
Responsibilities
- Deliver infrastructure and services that scale to our users needs with an eye on reliability and efficiency
- Lead and manage a team of talented engineers on the team, providing mentorship, guidance, and support to ensure their success
- Work with high-visibility teams and their stakeholders to support the Infrastructure’s key engineering initiatives
- Understand user needs and pain points to prioritize engineering work and deliver high quality solutions that meet user 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/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 Stripe’s Data Transformation roadmap
- Foster a collaborative and inclusive work environment, promoting innovation, knowledge sharing, and continuous improvement within the team
- Partners with our recruiting team to attract and hire top talent, and define the overall hiring strategies for your team
Skills
- 1 - 3 years of experience managing teams that shipped and operated data pipelines and critical distributed system infrastructure
- Successfully recruited and built great teams
- Extreme 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 plus
- 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)
Company Overview
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