Original listing text, shown exactly as published by the company.
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
In-Office Requirement Statement
- We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
- This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
Relocation Statement
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
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At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
