Pinterest is seeking a Staff Software Engineer to lead the development of its next-generation big data storage platform. This role involves working with cutting-edge technologies like Apache Iceberg at an exabyte scale to enhance Pinterest's data infrastructure. The engineer will collaborate with various teams, including data, ML/AI, and analytics, to improve storage and metadata management capabilities. The position emphasizes innovation and technical leadership in building scalable storage systems.

• 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.
• Deep knowledge of 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.
• Bachelor’s degree in a relevant field such as Computer Science, or equivalent experience.

• 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.
• Collaborate with stakeholders and partner teams to design storage and metadata layer technologies.
• Build storage capabilities that efficiently support large-scale ML/AI workloads.
• Shape the long-term technical direction for scalable, reliable, and efficient big data storage systems.
• Engage with and contribute to open source communities to address Pinterest’s scaling challenges.