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

Staff Software Engineer

Job Description

Required Skills