Principal Engineer, Big Data Platform

Responsibilities

• Lead the strategy and technical direction of Pinterest’s data infrastructure for big data and AI applications.
• Build and scale data infrastructure frameworks for petabyte-scale datasets, including compute engines, job management, resource management, scheduling, and remote shuffling.
• Partner with internal customers on critical business use cases relying on big data.
• Provide company-wide technical leadership on reliable, fast, and efficient data processing and storage at scale.
• Contribute to the team’s technical vision and long-term roadmap.

Requirements

• 12+ years of industry experience with a proven track record of technical excellence.
• 8+ years of experience building and supporting large-scale Kubernetes or big data platforms.
• Deep knowledge of big data and machine learning technologies such as Flink, Spark, Presto, Kubernetes, Ray, PyTorch, or TensorFlow.
• Proficiency in one or more of Java, Go, Scala, or Python.
• Experience with Kubernetes and AWS technologies.
• Exceptional collaboration skills and the ability to navigate ambiguity, make tradeoffs, and align stakeholders.
• Bachelor’s degree in computer science, a related technical field, or equivalent experience.

Benefits

• Remote work arrangement with in-office collaboration required 1–2 times per quarter; the role can be based anywhere in the country.
• US-based applicants only.
• The position is not eligible for relocation assistance.
• The role is eligible for equity.
• Pinterest provides inclusive workplace support and equal opportunity employment.