Senior Staff Software Engineer, Data Platform

Coinbase

Remote

Quick summary

Work type
Remote
Location
Oakland, CA
Salary
$253,895–$298,700 / yr
Posted
9 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $191k
This role $276k
$138k most similar roles pay here $316k

This role pays more than 97% of similar roles. Most pay $155,013–$226,600 — the shaded band above. At the midpoint, this role pays about $276k versus about $191k for comparable roles.

Based on 240 similar postings.

Employer

About Coinbase

Coinbase Global is a publicly traded cryptocurrency exchange platform where consumers can buy, sell, and store digital currencies including Bitcoin, Ethereum, and hundreds of other cryptocurrencies. Industry: Cryptocurrency Exchange & Financial Technology

Coinbase currently has 59 open roles on FindRole.

Listed pay typically runs $193,970–$228,200 across 53 roles with salary data.

Most-posted roles

View all roles at Coinbase

At a glance

TL;DR · Senior Staff Software Engineer, Data Platform

As a Senior Staff Software Engineer at Coinbase's Data Platform team, you will lead the technical strategy and architecture for the company’s foundational data infrastructure, transforming it into a scalable platform that supports AI and ML workloads. Your responsibilities include setting multi-quarter roadmaps to reduce costs through engineering-led initiatives, architecting near-real-time data availability, and driving cross-functional alignment with senior leadership. You will have deep experience in large-scale distributed systems, including streaming platforms and real-time processing engines, and a proven track record of moving teams from managed services to platform-grade infrastructure. This role requires strong systems thinking, empathy for developer customers, and expertise in designing data systems that support ML training pipelines and AI agent workloads at scale.

What you'll do

  • Define and drive the technical strategy for Coinbase's Data Platform.
  • Develop a multi-quarter roadmap focusing on cost reduction through engineering-led initiatives.
  • Architect data infrastructure to natively support AI and ML workloads at scale.
  • Enable near-real-time data availability across the company for downstream teams.
  • Serve as the primary technical voice in org-wide forums like OKR planning.
  • Mentor and elevate engineering talent within the Data Platform team.
  • Build alignment with senior leadership on technical priorities and tradeoffs.

What we're looking for

  • Deep experience building and operating large-scale distributed data infrastructure.
  • Strong systems thinking with expertise in performance, reliability, cost, security, and privacy.
  • Proven track record of moving teams from managed-service dependency to platform-grade infrastructure.
  • Experience designing data systems supporting ML training pipelines and real-time inference at scale.
  • Ability to define and drive technical strategy for an entire domain across multiple teams.
  • Platform mindset with empathy towards developer customers and focus on reducing friction.

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