Engineering Manager, Data Transformation
Stripe · US-SEA, US-SF, US-NYC, US-Remote · 8122 Data Foundations · listed April 13, 2026
The shape of it
Seniority
Manager
Experience asked
3+ years
Where
Remote
Requirements listed
7
Length
684 words
In the posting’s own words
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.
What it asks for · 7
- 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
Also a plus
- 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)
What the job covers
- 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
Degree language
- Thrives with a high degree of autonomy and responsibility in an ambiguous environment
Tools and skills named
Data
- Airflow2×
- Spark2×
- Data modeling
- Data pipelines
Languages
- Python2×
- SQL2×
- Scala
Product & design
- Roadmap3×
Cloud & infra
- Kafka2×
Frameworks
- gRPC
Go to market
- Partnerships
Operations & finance
- Recruiting
Ways of working
- Mentorship
Words the posting leans on
- data11×
- transformation9×
- products7×
- users7×
- data transformation5×
- engineers5×
- requirements5×
- critical4×
- drive4×
- engineering4×
- infrastructure4×
- pipelines4×
- building3×
- decisions3×
- high-quality3×
- meet3×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
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