Engineering Manager II, Big Data Storage
Staff-level engineer leading design and development of Pinterest’s exabyte-scale data lake storage platform using Iceberg and related big data technologies to support ML/AI workloads.
About the job
What you’ll do:
- 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.
What we’re looking for:
- 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
Skills
Apache Iceberg, Spark, Apache Flink, Presto, Trino, Apache Hive, Java, Scala, Python, Distributed Systems
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