Petabyte-Scale Data Platform Architect (Remote)

Ladders; United States; On-site; USD 243,000 - 500,000; Full time

Benefits offered by this job

In-office collaboration is required 1-

Equity eligibility

Remote work flexibility

Inclusive workplace culture

Job summary

Ladders is seeking a Principal Engineer, Big Data Platform to shape the technical direction for large-scale data infrastructure that supports big data and AI applications. Remote - US based candidates only; no visa sponsorship.

You will partner with internal teams to build frameworks for petabyte-scale datasets emphasizing performance, reliability, and scalability. This role will influence long-term architecture and technical vision for the company's data platform while helping drive efficient

Qualifications

• 12+ years of industry experience with a track record of technical excellence.
• 8+ years building scalable Kubernetes or big data platforms.
• Deep knowledge of big data/ML tech incl. Flink, Spark, Presto, Kubernetes, Ray, PyTorch/TensorFlow.
• Proficient in Java, Go, Scala, and Python.
• Experience with Kubernetes and AWS.
• Bachelor's degree in Computer Science or equivalent.

Responsibilities

• Lead strategy and technical direction for data infrastructure for big data and AI applications.
• Build and scale data infrastructure frameworks for petabyte-scale datasets.
• Collaborate with internal customers on impactful big data use cases.
• Provide company-wide thought leadership on efficient data processing and storage.
• Contribute to the team's technical vision and long-term roadmap.

Skills

Kubernetes

Big data platforms

Java

Go

Scala

Python

Spark

Flink

Presto

Ray

PyTorch

TensorFlow

AWS

Education

Bachelor's degree in Computer Science or equivalent

Tools

Kubernetes

AWS

Job description

Ladders is seeking a Principal Engineer, Big Data Platform to shape the technical direction for large-scale data infrastructure that supports big data and AI applications. Remote - US based candidates only; no visa sponsorship.

You will partner with internal teams to build frameworks for petabyte-scale datasets emphasizing performance, reliability, and scalability. This role will influence long-term architecture and technical vision for the company's data platform while helping drive efficient