> Markdown version of [/jobs/ext/3897861-senior-staff-software-engineer-data-platform](https://www.wearedevelopers.com/jobs/ext/3897861-senior-staff-software-engineer-data-platform). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Staff Software Engineer, Data Platform - **Company:** Coinbase, Inc. - **Location:** Salem, OR, United States - **Experience:** Expert - **Salary:** $253,895.0 - $298,700.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Information Engineering, Data Infrastructure, Data Systems, Distributed Data Store, Distributed Systems, Fraud Prevention and Detection, Machine Learning, Feature Store, Data Ingestion, Snowflake, Multi-Agent Systems, Data Lakes, Real-time Inference, Real Time Data, Apache Kafka, Virtual Agents, Databricks - **Published:** October 23, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3466459044&tx=IT8881TTV&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * 12+ years building and operating large-scale distributed data infrastructure, including streaming platforms, data lakes, batch and real-time processing engines, and query/serving layers. * Record of owning end-to-end technical strategy and architecture for an entire data domain across multiple teams, with demonstrated success transitioning organizations from managed-service dependency toward platform-grade, engineering-built infrastructure. * Deep systems thinking across the full data lifecycle, with ability to reason about performance, reliability, cost, security, and privacy at each layer. * Demonstrated experience designing data systems that support ML training pipelines, feature stores, real-time inference, or AI agent workloads at scale, with familiarity across technologies such as CDC, Kafka, Databricks, Snowflake. * Platform mindset and product-manager orientation toward data infrastructure, focused on reducing friction for developer customers and creating compounding leverage. * Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. ## Description As a Senior Staff Software Engineer on the Data Platform team within https://www.coinbase.com/careers/product-groups, you'll define and lead the technical strategy for Coinbase's data infrastructure, spanning ingestion, transformation, warehousing, streaming, and serving systems. This is a foundational role at the intersection of distributed systems, data engineering, and AI-readiness, reporting to the Senior Director of Engineering. You'll set architectural direction, drive multi-quarter roadmaps, and transition the organization from managed-service dependency toward engineering-built, platform-grade infrastructure that powers everything from fraud detection to modern multi-agent AI architectures. What you'll do: * Own the technical strategy and architecture for Data Platform, setting direction across data ingestion, transformation, warehousing, streaming, and serving systems while driving engineering-led cost reduction at the infrastructure layer. * Architect data infrastructure to natively support AI and ML workloads, ensuring pipelines, data lake systems, and compute can power ML training, feature stores, real-time inference, and multi-agent AI architectures at scale. * Drive the evolution to near-real-time data availability, enabling downstream teams across Coinbase to act on fresher data for fraud detection, financial reporting, and analytics. * Build alignment and secure commitment from senior leadership and cross-functional partners across product, infrastructure, 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, while elevating senior engineering talent.