Engineering Manager, Data Transformation

Stripe is a financial infrastructure platform for businesses. The Engineering Manager will lead the Data Transformation team, manage engineers, and advance the roadmap for scalable batch and real-time data transformation platforms. The role focuses on delivering reliable, high-quality datasets and infrastructure for analytics, workflows, 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

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)