About this opportunity
Jobtailor lists this Principal Engineer, Big Data Platform opportunity in san francisco, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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
Work with internal customers on critical business use cases relying on big data
Provide company-wide thought leadership on processing and storing data reliably, quickly, and efficiently 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 scalable Kubernetes or big data platforms
Deep knowledge of big data / ML technologies, including Flink, Spark, Presto, Kubernetes, Ray, PyTorch/TensorFlow
Proficiency in one or more programming languages: Java, Go, Scala, or Python
Experience with Kubernetes and AWS technologies
Exceptional collaboration skills with cross-functional partners, ability to navigate ambiguity, make tradeoffs, and align stakeholders
Bachelor’s degree in Computer Science, a related technical field, or equivalent experience
Core Competencies
Demonstrates expertise in leading the strategy and technical direction of data infrastructure for big data and AI applications, with a strong focus on building scalable frameworks and collaborating with cross-functional teams.
Highest-signal resume keywords
Big Data Technologies
Kubernetes Platform Development
Data Infrastructure Frameworks
Programming in Java, Go, Scala, or Python
AWS Technologies
Hard Skills
Big Data
Machine Learning
Flink
Spark
Presto
Ray
PyTorch
TensorFlow
Kubernetes
Data Processing
Soft Skills
Collaboration
Stakeholder Alignment
Navigating Ambiguity
Tradeoff Decision-Making
Industry Keywords
Data Infrastructure
Petabyte-Scale Datasets
Compute Engines
Job Management
Resource Management
Scheduling
Remote Shuffling
Tools & Technologies
AWS
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Worksite address
san francisco, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.