Engineering Manager, Data Transformation

Stripe; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

Stripe is seeking an Engineering Manager for the Data Transformation team in New York. You will lead engineers to build scalable pipelines and platforms used by 400+ product teams, while shaping the strategic roadmap for streaming transformation and data modeling.

You will mentor engineers, partner with infrastructure and product teams, and drive adoption of robust data services across Stripe's product suite, including analytics and reporting tools Sigma and Radar.

Qualifications

• 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, partner with Stripe engineers to understand use cases.
• Works effectively cross-functionally, communicates clearly, and makes hard decisions.
• Thrives with autonomy and responsibility in ambiguous environments.
• Technical acumen to drive architectural clarity with staff engineers.
• Encourages an inclusive, challenging, supportive team culture.

Responsibilities

• Deliver infrastructure and services that scale with reliability and efficiency.
• Lead and manage a team of engineers with mentorship and support.
• Collaborate with high-visibility teams and stakeholders for key initiatives.
• Prioritize engineering work by understanding user needs and pain points.
• Oversee projects from planning to delivery with high quality and timely completion.
• Provide hands-on technical leadership for architecture, vision, and incident response.
• Collaborate with company leaders to drive a long-term Data Transformation roadmap.
• Foster a collaborative, inclusive environment and drive talent acquisition strategies.

Skills

Team management

Hiring/recruiting

Cross-functional

Customer focus

Autonomy

Architecture decisions

Mentorship

Tools

Kafka

Flink

Spark

Airflow

Python

SQL

API design

Job 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
• 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

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

• 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

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 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)