The opportunity
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom.
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.
+ years building and operating large-scale distributed data infrastructure,: including streaming platforms, data lakes, batch and real-time processing engines, and query/serving layers.
What they're looking for
- 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.
