Pinterest is a platform that inspires creativity and innovation, and they are seeking a Staff Software Engineer to build their next generation big data storage platform. This role involves designing and building scalable storage systems, collaborating with cross-functional teams, and contributing to open source communities to address scaling challenges.
Responsibilities:
- Design, implement, and optimize Pinterest’s exabyte-scale data lake storage platform
- Lead complex technical projects and initiatives for data lake storage and metadata management, driving them from architecture through execution
- Collaborate with stakeholders and partner teams across the organization to design storage and metadata layer technologies that unlock big data and ML/AI innovations
- Build storage capabilities that efficiently support large-scale ML/AI workloads, including high-throughput data access, schema evolution, and large-scale column backfills
- Shape the long-term technical direction for scalable, reliable, and efficient big data storage systems
- Engage with and contribute to open source communities such as Apache Iceberg, Spark, and Flink to help address Pinterest’s scaling challenges
Requirements:
- 8+ years of relevant industry experience designing and building large-scale production distributed systems
- Strong experience designing and maintaining scalable storage, metadata, or data lake infrastructure
- Experience building storage capabilities for large-scale ML/AI or analytics workloads, including high-throughput data access, schema evolution, and large-scale column backfills
- Deep knowledge with building distributed systems, data storage systems, and production infrastructure
- Experience with big data technologies such as Apache Iceberg, Spark, Flink, Presto/Trino, Hive, or similar systems
- Proficiency in programming languages like Java, Scala, or Python
- Proven ability to lead complex technical initiatives and influence architecture across teams
- Strong collaboration, communication, and problem-solving skills, with a drive for technical excellence and innovation
- Bachelor's degree in a relevant field such as Computer Science, or equivalent experience