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Staff Software Engineer, Data Platform

248k – 279kSan Francisco, CAOnsite7+ YOE
Summary

Staff engineer leading Data Platform initiatives like scaling, stream processing, and GRC at massive scale. Requires 7+ years experience in distributed systems and data infrastructure, with strong architectural leadership and cross-functional influence.

About the role

What You'll Be Doing

  • Own the technical direction of major Data Platform initiatives like GRC, scaling, or stream processing, from problem to production system and post-launch health
  • Be a force multiplier: build reusable primitives, unblock teammates, and raise the quality bar across the team
  • Stay a top code contributor. You write real production code while helping others reach the same bar
  • Partner with XFN stakeholders to translate business problems into clear technical strategy
  • Champion debate, decide, and commit and 80/20 thinking to drive robust technical solutions supporting multiple team

What you should have

  • 7+ years of software engineering experience with a track record of driving large, ambiguous technical initiatives end-to-end
  • Expertise in distributed systems and data infrastructure at scale. You've anticipated hard problems before they became incidents
  • Demonstrated ability to multiply a team's impact through architectural thought leadership, design reviews, reusable abstractions, and well-timed mentorship
  • Strong technical judgment: when to go fast vs. slow, when to build vs. integrate, and how to bring stakeholders along
  • Cross-functional influence: you've driven alignment across engineering, product, and business without relying on authority

Bonus Points

  • Passion for Discord and gaming
  • Experience with data governance, privacy compliance, real-time analytics infrastructure, or cost optimization in large-scale data environments

Compensation: US base salary range $248,000 to $279,000 + equity + benefits.

Skills
distributed systemsdata infrastructurestream processingdata governancereal-time analyticsGRCarchitectural designreusable abstractionsscalabilityprivacy compliance
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