The opportunity
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…
What you'll do
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
What they're looking for
- + 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
