Engineering Manager, Data Transformation

Stripe; Seattle (WA); Hybrid; USD 203,000 - 305,000; Full time

Benefits offered by this job

Equity

401(k) plan

Medical, dental, and vision benefits

Wellness stipend

Job summary

Stripe is seeking an Engineering Manager for the Data Transformation team to lead a group of engineers focused on batch and real-time data pipelines and transformations. You will guide architecture and drive the roadmap for high-quality datasets powering Stripe products and AI agents.

You will mentor engineers, collaborate across teams, and help shape a scalable, reliable data platform while fostering an inclusive and innovative work culture.

Qualifications

• 3+ years managing teams that shipped data pipelines and critical distributed systems.
• Experience recruiting and building high-performing teams.
• Strong customer focus and cross-functional collaboration with Stripe engineers.
• Ability to make hard decisions and trade-offs in ambiguous environments.
• Technical acumen to guide architecture with staff engineers and architects.
• Fosters inclusive, challenging, and supportive work environments.

Responsibilities

• Deliver scalable infrastructure and services with reliability and efficiency.
• Lead and mentor engineers, guiding growth and performance.
• Collaborate with high-visibility teams and stakeholders on infrastructure initiatives.
• Prioritize engineering work based on user needs and business impact.
• Drive projects from planning to delivery with quality and timeliness.
• Provide hands-on technical leadership for architecture, vision, and incident response.
• Shape and advance the Data Transformation roadmap with leadership.
• Foster collaboration, knowledge sharing, and continuous improvement.
• Partner with recruiting to attract top talent and define hiring strategy.

Skills

Team management

Data pipelines

Distributed systems

Cross-functional collaboration

Technical leadership

Tools

Kafka

Flink

Spark

Airflow

Python

SQL

API design

Job description

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)

In‑office expectations

Office‑assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in Stripe Delivery Center roles in Mexico City, Mexico, Bengaluru, India, and Dublin, Ireland work 100% from the office. Also, some teams have greater in‑office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in‑person collaboration and learning from each other, while supporting flexibility when possible.

Pay and benefits

The annual US base salary range for this role is $203,400 - $305,200. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.

Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.

We look forward to hearing from you.

At Stripe, we welcome diverse perspectives and people who think rigorously and aren’t afraid to challenge assumptions. Join us.