Engineering Manager, Data Transformation
Leads Stripe's Data Transformation team, which builds and operates batch and real-time data transformation pipelines and platforms (Spark, Kafka, Flink, Airflow, Iceberg) serving 400+ internal product teams. The role blends people management, roadmap setting, and hands-on technical leadership.
- Compensation
- Not disclosed
- Location
- US-SEA, US-SF, US-NYC, US-Remote
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 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 partnerships with other engineers to understand their use cases
- Works effectively cross-functionally; thinks rigorously, communicates effectively, makes or coordinates hard decisions and trade-offs
- Thrives with high degree of autonomy and responsibility in an ambiguous environment
- Technical acumen to drive clarity with staff engineers about architecture and technical strategic decisions
- Encourages a healthy and inclusive work environment
Nice to have
- Managed teams that shipped products to data users and operated large-scale, high-availability data transformation pipelines; expertise in Kafka, Flink, Spark, Airflow, Python, SQL, and API design
- Enjoys learning how things work in detail and can question and direct architectural decisions
- Strong written and verbal communication skills for different audiences (leadership, users, company-wide)
Full description
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
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 manifold. The team is in an interesting phase of innovation tied to the 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 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'll lead a team of engineers, collaborate with infrastructure and product engineering orgs, and advance the Data Transformation roadmap and adoption at Stripe. You'll drive critical workstreams for the topmost priorities at Stripe around delivering high-quality, materialized datasets for Stripe 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