Engineering Manager, Big Data Storage

Pinterest is a platform where millions of people find creative ideas and plan memorable experiences. They are seeking an Engineering Manager to lead the development of their big data storage platform, guiding a team in building storage capabilities that support large-scale ML/AI workloads.

Responsibilities:

• Own the technical vision and long-term roadmap of Pinterest’s exabyte data lake storage
• Collaborate with stakeholders and partner teams across the organization to architect data lake storage and metadata management technologies to 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
• Drive engagement and collaboration with open source communities, such as Iceberg, Spark, and Flink, to effectively address our scaling challenges
• Act as a stalwart of technical quality and excellence on the team, ensuring the solutions we deliver have a high level of polish and reliability

Requirements:

• Bachelor's degree in a relevant field such as Computer Science, or equivalent experience
• 2+ years of management experience, or 3+ years tech lead experience in a 5+ person team
• 8+ years of relevant industry experience in leading the design of large scale & production distributed systems
• Experience building storage capabilities that efficiently support large-scale ML/AI workloads, including high-throughput data access, schema evolution, and large-scale column backfills
• Deep knowledge with building distributed systems
• Strong cross-functional collaborator and communicator
• Strong people development skills