Senior Staff Software Engineer, Data Platform

Robinhood

Hybrid

Quick summary

Work type
Hybrid
Location
Bellevue, WA
Salary
$264,000–$310,000 / yr
Posted
86 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $208k
This role $287k
$165k most similar roles pay here $326k

This role pays more than 96% of similar roles. Most pay $180,551–$236,125 — the shaded band above. At the midpoint, this role pays about $287k versus about $208k for comparable roles.

Based on 240 similar postings.

Employer

About Robinhood

Robinhood is a financial technology company offering commission-free stock, ETF, options, and cryptocurrency trading through its mobile app, aimed at democratizing access to financial markets. Industry: Financial Technology & Investment App

Robinhood currently has 83 open roles on FindRole.

Listed pay typically runs $187,000–$220,000 across 82 roles with salary data.

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At a glance

TL;DR · Senior Staff Software Engineer, Data Platform

As a Senior Staff Software Engineer in Robinhood’s Data Platform organization, you will lead technical direction and execution across storage, streaming, and data lake platforms, addressing complex challenges such as database sharding, real-time event processing, and large-scale analytics. You’ll collaborate with engineering leaders to define platform strategy and ensure systems meet reliability and performance standards while driving new initiatives that introduce advanced capabilities in areas like streaming and data processing. The role requires deep expertise in distributed systems, including storage solutions like PostgreSQL or DynamoDB, streaming platforms such as Kafka, and modern data processing engines like Delta Lake and Spark. This position offers a unique opportunity to influence multiple critical systems at scale within a fast-growing financial technology company.

What you'll do

  • Lead architectural direction for storage, streaming, and data lake platforms.
  • Design and guide implementation of distributed systems like database sharding and proxy-based query routing.
  • Improve real-time data processing by evolving streaming and ingestion systems.
  • Define platform strategy and align roadmaps with business needs across teams.
  • Drive new initiatives to introduce advanced capabilities in streaming and data processing.

What we're looking for

  • Extensive experience building and scaling distributed systems.
  • Deep expertise in storage systems, streaming platforms, or data lake/large-scale data processing.
  • Strong understanding of database systems like PostgreSQL and DynamoDB.
  • Experience with streaming architectures using Kafka, Flink, or similar technologies.
  • Familiarity with modern data platforms such as Spark and Delta Lake.
  • Proven ability to lead complex technical initiatives and define long-term architecture.

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