Senior Staff Software Engineer, Data Platform

At Coinbase, our mission is to increase economic freedom in the world. Achieving that goal requires not just great products, but a world-class data foundation beneath them. The Data Platform team is the engine that makes Coinbase's data reliable, fast, and accessible at scale — powering everything from fraud detection and financial reporting to the AI and ML systems that will define Coinbase's next decade.

The Role

We are looking for a visionary, hands-on Senior Staff Software Engineer to help define and lead the technical strategy for Coinbase's Data Platform. This is a foundational role at the intersection of distributed systems, data engineering, and AI-readiness — and a rare opportunity to build something that matters at the infrastructure level of one of the most important companies in crypto.

You will report into the Senior Director of Engineering, Data Platform, and serve as the domain's top technical leader. You will set architectural direction, mentor and elevate engineering talent, drive multi-quarter roadmaps, and be a key voice in shaping how Coinbase evolves from a collection of managed data services into a true, scalable data platform. This role operates with significant autonomy and is expected to have impact across multiple cross-functional teams and the broader Infrastructure organization.

What You'll Do

• 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.

What We Look For

• 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.
• Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.

Nice to Have

• Experience at high-scale tech-forward fintech, crypto, or financial services companies 
• Familiarity with compliance, data governance, or regulatory data requirements.
• Experience with change data capture (CDC), Kafka Connect, or real-time ETL pipelines.
• Experience working on Databricks and/or Snowflake
• Experience operating large scale data platforms on public cloud infrastructure
• Background contributing to open-source data infrastructure projects.

Job ID# P75554