Engineering Manager, Data Transformation

Stripe; United States; Remote; USD 150,000 - 190,000; Full time

Job summary

Stripe is seeking an Engineering Manager for the Data Transformation team to lead a group of engineers, shaping batch and real-time data pipelines and platforms used by 400+ product teams. This role focuses on delivering high-quality, scalable datasets for analytics, dashboards, and workflows across Stripe, including Sigma and Radar.

You will collaborate with infrastructure and product engineering while steering the strategic roadmap for streaming transformation and ergonomic data modeling.

Qualifications

• Experience leading engineering teams and delivering scalable data platforms.
• Strong collaboration with infra and product engineering orgs.
• Experience with batch and streaming data pipelines and data modeling.

Responsibilities

• Deliver infrastructure and services that scale to users’ needs with reliability and efficiency.
• Lead and manage a team of engineers, providing mentorship and guidance for their success.
• Collaborate with high-visibility teams and stakeholders on infrastructure initiatives.
• Understand user needs to prioritize engineering work and deliver high-quality solutions.
• Drive project execution from planning to delivery with high quality and timely completion.
• Provide hands-on technical leadership in architecture, design, and incident response.

Skills

Leadership

Mentorship

Technical leadership

Tools

Spark

Airflow

Iceberg

Hive

S3

SQL

Python

Scala

GRPC

Kafka

FlinkSQL

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 proc