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.
You will be responsible for building out platforms to accelerate Stripe’s data productivity as Stripe scales. That includes building an Experimentation Platform, internal dashboarding and notebooking portal, an interface to analytical query engines, and data documentation and discovery tools. More than 80% of Stripes are active users of our platforms and more than 60% have produced and shared data using our platforms last year
Dataset lineage and provenance explorer and integration with other internal data service ^
Build batch and streaming infrastructure which will enable rapid development of experiments as well as analysis and monitoring of running experiments ^
Build easy to use client libraries to enable integration with the platform and instrumentation of important events
Our stack spans tools in Spark, Flink, Kafka, Scala, Python, Ruby, Javascript, React, SQL
You have led technical teams building large-scale data platforms, has extreme attention to detail, concisely communicates complex concepts, and is equally excited about 99.9999% reliability and data quality as well as beautiful product UX and API design.
Office locations
South San Francisco HQ
Team
Data & Data Science
Job type
Full time