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# Engineering Manager, Data Transformation

- **Company:** Stripe, Inc.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Data Transformation, Distributed Systems, Python (Programming Language), SQL Databases, Apache Spark, Apache Flink, Apache Kafka, Api Design, Data Pipelines
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25197_f7ccb8a6e970f7e0067ac7f6977b5e24

## About the Role

* 5+ 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)

## Description

* 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