Engineering Manager, Data Transformation & Pipelines

Stripe, Inc.; New York (NY); On-site; USD 180,000 - 260,000; Full time

Job summary

Stripe is seeking an Engineering Manager for the Data Transformation team to lead a group of engineers responsible for batch and real-time pipelines used by 400+ product teams. You will shape the roadmap, mentor engineers, and collaborate with infrastructure and product teams to deliver scalable data platforms that power analytics and reporting.

You will oversee design and implementation of high-quality data transformations using Spark, Airflow, Kafka, and related technologies, fostering a

Qualifications

• 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 Stripe engineers to understand their use cases
• Works effectively cross-functionally and can think rigorously, communicate effectively, and make hard decisions

Responsibilities

• Lead a team of engineers and advance the Data Transformation roadmap
• Deliver infrastructure and services that scale to users' needs with reliability and efficiency
• Provide hands-on technical leadership for architecture, design, and incident response
• Partner with cross-functional teams to drive the longer-term vision of Data Transformation at Stripe
• Foster an inclusive, collaborative environment and drive talent recruiting strategies

Skills

Team leadership

Data pipelines

Distributed systems

Cross-functional collaboration

Strategic planning

Mentorship

Tools

Kafka

Flink

Spark

Airflow

Python

SQL

APIs

Job description

Stripe is seeking an Engineering Manager for the Data Transformation team to lead a group of engineers responsible for batch and real-time pipelines used by 400+ product teams. You will shape the roadmap, mentor engineers, and collaborate with infrastructure and product teams to deliver scalable data platforms that power analytics and reporting.

You will oversee design and implementation of high-quality data transformations using Spark, Airflow, Kafka, and related technologies, fostering a