
Senior Staff Software Engineer, Data Platform
Coinbase
full-time
Posted on:
Location Type: Hybrid
Location: United States
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Salary
💰 $253,895 - $298,700 per year
Job Level
About the role
- Define and Drive Technical Strategy: Own the technical strategy and architecture for Data Platform, setting direction across data ingestion, transformation, warehousing, streaming, and serving systems.
- Develop and execute a multi-quarter roadmap that transitions the team from operational cost-saving toward engineering-led cost reduction — rethinking how cost scales with infrastructure, not just how to trim it.
- Architect for the AI-Native Future: Redesign data infrastructure from the ground up to natively support AI and ML workloads — ensuring that data pipelines, data lake infrastructure, and compute systems can power fraud and other AI models, and modern multi-agent AI architectures.
- Drive the evolution to near-real-time data availability: Enable downstream teams to act on fresher data across the company.
- Spearhead Builder Mindset: push the team to build data infrastructure that creates compounding leverage.
- Drive Cross-Functional Alignment: build alignment and secure commitment from senior leadership and cross-functional partners — product, infrastructure, data engineering, analytics, ML, privacy, security and compliance — on technical priorities and tradeoffs.
- Serve as the primary technical voice for Data Platform in org-wide forums including OKR planning, architecture reviews, and long-term infrastructure strategy.
Requirements
- Deep experience building and operating large-scale distributed data infrastructure — streaming platforms, data lakes, batch and real-time processing engines, and query/serving layers.
- Strong systems thinking: you understand the full data lifecycle and can reason about performance, reliability, cost, security and privacy at each layer.
- Proven experience moving teams from managed-service dependency toward engineering-built, platform-grade infrastructure.
- A platform mindset: You think like a product manager for data infrastructure — deeply empathetic to your developer customers, focused on reducing friction, and obsessed with leverage.
- Experience designing data systems that support ML training pipelines, feature stores, real-time inference, or AI agent workloads at scale.
- Proven track record owning the technical strategy and architecture for an entire domain across multiple teams.
Benefits
- Health insurance
- Dental insurance
- Vision insurance
- 401(k)
- Paid time off
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data infrastructuredata ingestiondata transformationdata warehousingstreaming systemsdata lakesreal-time processing enginesML training pipelinesfeature storesAI agent workloads
Soft Skills
systems thinkingcross-functional alignmentbuilder mindsettechnical strategy ownershipleadershipcommunicationcollaborationempathyproblem-solvingstrategic planning