Staff Data Platform Engineer

What you'll do

• Own the data platform roadmap and lead architecture, technology selection, and infrastructure strategy.
• Build and evolve high-volume data pipelines and storage systems; contribute code to critical systems.
• Advance data governance, privacy, compliance, and audit capabilities, while partnering with AI and machine learning leaders and mentoring engineers.

What they ask for

• 10+ years of software engineering experience, including at least 6 years focused on data platforms, infrastructure, or large-scale backend systems.
• Expertise architecting distributed systems, including high-throughput pipelines and petabyte-scale or similarly complex data processing environments; deep knowledge of big data technologies, distributed databases, and modern data platforms.
• Strong production systems programming skills in Python, Java, C++, Rust, or Go.
• Expertise in data compliance, privacy engineering, and secure data handling in regulated environments; experience building and mentoring teams and delivering complex technical initiatives.

Nice to have

• Experience in high-growth environments, major architectural transitions or platform migrations, or machine learning infrastructure and AI workload platforms.
• Technical writing or public speaking on data systems, architecture, or engineering practices; background in legal technology, financial services, or another highly regulated industry.

Pay

$127,400 USD - $236,600 USD (base salary)

Tools

Python, Java, C++, Rust, Go

AI focus

Partners with machine learning and AI leaders to support model training, evaluation, and inference at scale; enables platform infrastructure for AI innovation.