Senior Staff Data Platform Engineer — AI-Ready Real-Time Infra

Coinbase, Inc.; Boston (MA); Remote; USD 254,000 - 299,000; Full time

Job summary

Coinbase, Inc. seeks a Senior Staff Software Engineer to define and lead the technical strategy for Coinbase's data infrastructure, spanning ingestion, transformation, warehousing, streaming, and serving systems.

You will set architectural direction, drive multi-quarter roadmaps, and transition the organization toward platform-grade infrastructure. You will architect data systems that power ML workloads, real-time inference, fraud detection, and analytics, collaborating with product, security,

Qualifications

• 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 a data domain across multiple teams with platform-grade infrastructure.
• Demonstrated ability to reason about performance, reliability, cost, security, and privacy across the full data lifecycle.

Responsibilities

• Own the technical strategy and architecture for Data Platform across ingestion, transformation, warehousing, streaming, and serving systems.
• Architect data infrastructure to support AI/ML workloads, including pipelines, data lake, compute, and feature stores.
• Drive near-real-time data availability enabling downstream teams for fraud detection, reporting, and analytics.
• Secure executive alignment across product, infrastructure, analytics, ML, privacy, security, and compliance on priorities and tradeoffs.
• Serve as the primary technical voice for Data Platform in org-wide forums and roadmap planning.

Skills

Distributed data infra

Data platform architecture

ML data pipelines

Real-time processing

Cross-team leadership

Tools

Kafka

Databricks

Snowflake

Job description

Coinbase, Inc. seeks a Senior Staff Software Engineer to define and lead the technical strategy for Coinbase's data infrastructure, spanning ingestion, transformation, warehousing, streaming, and serving systems.

You will set architectural direction, drive multi-quarter roadmaps, and transition the organization toward platform-grade infrastructure. You will architect data systems that power ML workloads, real-time inference, fraud detection, and analytics, collaborating with product, security,