Engineering Manager, Data Transformation

Greensboro NC News; Seattle, San Francisco, New York (WA, CA, NY); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Stripe is seeking an Engineering Manager for the Data Transformation team to lead and scale data pipelines and platforms used by 400+ product teams. You will mentor engineers, drive the roadmap for batch and real-time transformation, and partner with cross-functional teams to deliver high-quality datasets for analytics and reporting.

You will shape the architecture, set technical direction, and foster an inclusive, high-performing team culture while ensuring reliable, efficient data

Qualifications

• Experience shipping and operating data pipelines and distributed systems.
• Strong customer focus and collaboration with Stripe engineers to understand use cases.
• Excellent written and verbal communication, able to articulate complex technical concepts.

Responsibilities

• Lead and mentor a team of engineers across data transformation initiatives.
• Drive roadmap and delivery for batch and streaming data pipelines.
• Partner with product and infrastructure teams to align on priorities and milestones.
• Oversee end-to-end project lifecycle from planning to delivery with high quality standards.
• Provide hands-on technical leadership in architecture, design, and incident response.

Skills

Team management

Data pipeline experience

Cross-functional collaboration

Strategic thinking

Effective communication

Tools

Kafka

Flink

Spark

Airflow

Python

SQL

API design

Job description

# Engineering Manager, Data TransformationStripeUS-SEA, US-SF, US-NYC, US-Remote Pay not disclosed Posted 1w agoFull-TimeRemoteSource: greenhouse:stripe · External Apply## About this jobWho we areAbout StripeStripe 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 teamThe 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 doAs 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.ResponsibilitiesDeliver infrastructure and services that scale to our users' needs with an eye on reliability and efficiencyLead and manage a team of engineers, providing mentorship, guidance, and support to ensure their successWork with high-visibility teams and their stakeholders to support key infrastructure engineering initiativesUnderstand user needs and pain points to prioritize engineering work and deliver high-quality solutions that meet those needsDrive the execution of projects, overseeing the entire development lifecycle from planning to delivery, while maintaining high standards of quality and timely completionProvide hands-on technical leadership (architecture and design, vision, direction, requirements setting, and incident response processes) for your reportsWork with leaders across the company to create and drive toward the longer-term vision of the Data Transformation roadmapFoster a collaborative and inclusive work environment, promoting innovation, knowledge sharing, and continuous improvement within the teamPartner with our recruiting team to attract and hire top talent and define the overall hiring strategies for your teamWho you areWe'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 requirements5+ years of experience managing teams that shipped and operated data pipelines and critical distributed system infrastructureSuccessfully recruited and built great teamsStrong customer focus, committed to investing in partnerships with other Stripe engineers to establish empathy and understand their use casesWorks effectively cross-functionally and is able to think rigorously, communicate effectively, and make or coordinate hard decisions and trade-offsThrives with a high degree of autonomy and responsibility in an ambiguous environmentTechnical acumen to drive clarity with staff engineers about architecture and technical strategic decisionsEncourage a healthy and inclusive work environment that's both challenging and supportivePreferred qualificationsManaged 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 designA genuine enjoyment of learning and diving into the nuts-and-bolts of how things work, with the ability to question and direct architectural decisionsStrong written and verbal communication skills for different audiences (leadership, users, company-wide)