Job
Description
Who we are About Stripe About the team The Reporting Platform Data Foundations group maintains and evolves the core systems that power reporting data for Stripes users. Were responsible for Aqueduct, the data ingestion and processing platform that powers core reporting data for millions of businesses on Stripe. We integrate with the latest Data Platform tooling, such as Falcon for real-time data. Our goal is to provide a robust, scalable, and efficient data infrastructure that enables clear and timely insights for Stripes users. What youll do As a Software Engineer on the Reporting Platform Data Foundations group, you will lead efforts to improve and redesign core data ingestion and processing systems that power reporting for millions of Stripe users. Youll tackle complex challenges in data management, scalability, and system architecture. Responsibilities Design and implement a new backfill model for reporting data that can handle hundreds of millions of row additions and updates efficiently Revamp the end-to-end experience for product teams adding or changing API-backed datasets, improving ergonomics and clarity Enhance the Aqueduct Dependency Resolver system, responsible for determining what critical data to update for Stripe s users based on events. Areas include error management, observability, and delegation of issue resolution to product teams Lead integration with the latest Data Platform tooling, such as Falcon for real-time data, while managing deprecation of older systems Implement and improve data warehouse management practices, ensuring data freshness and reliability Collaborate with product teams to understand their reporting needs and data requirements Design and implement scalable solutions for data ingestion, processing, and storage Onboard, spin up, and mentor engineers, and set the group s technical direction and strategy Who you are Were 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 8+ years of professional experience writing high quality production level code or software programs. Extensive experience in designing and implementing large-scale data processing systems Strong background in distributed systems and data pipeline architectures Proficiency in at least one modern programming language (e.g., Go, Java, Python, Scala) Experience with big data technologies (e.g., Hadoop, Flink, Spark, Kafka, Pinot, Trino, Iceberg) Solid understanding of data modeling and database systems Excellent problem-solving skills and ability to tackle complex technical challenges Strong communication skills and ability to work effectively with cross-functional teams Experience mentoring other engineers and driving technical initiatives Preferred qualifications Experience with real-time data processing and streaming systems Knowledge of data warehouse technologies and best practices Experience in migrating legacy systems to modern architectures Contributions to open-source projects or technical communities 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 and Bengaluru, India 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. Team Data Platform Job type Full time
