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 by many folds. The team is in an interesting phase of innovation tied to 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 used 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 will lead a team of engineers, collaborate with infrastructure and product engineering orgs, and advance the Data Transformation roadmap and adoption at Stripe. You will be driving critical workstreams for Stripe's topmost priorities around delivering high quality, materialized datasets Stripe products and AI agents.

You will:

• 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

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

We're looking for someone who has:

• 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

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 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)