Senior Staff Software Engineer, Data Platform
Job Overview
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way.
This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here.
Job Description
Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges. ” learn more about working at Coinbase .
This is a foundational role at the intersection of distributed systems, data engineering, and AI-readiness, reporting to the Senior Director of Engineering.
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.
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.
Key Responsibilities
- If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here.
- As a Senior Staff Software Engineer on the Data Platform team within Platform , you'll define and lead the technical strategy for Coinbase's data infrastructure, spanning ingestion, transformation, warehousing, streaming, and serving systems.
- 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.
- 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.
- 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.
- Required Skills and Experience: 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.
- 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.
Required Skills and Qualifications
- Required Skills and Experience: 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.
- 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.
Benefits and Perks
- Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).
- Annual base salary range (excluding equity and bonus): $253,895 - $298,700 USD Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.
USA Jobs Today role summary
Role Summary
Senior Staff Software Engineer, Data Platform at Coinbase is a remote United States position and is listed as Full Time.
Ready to do the most impactful work of your career?
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Application Checklist
- Review the stated qualifications, including: Required Skills and Experience: 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. Deep systems thinking across the full data lifecycle, with ability to reason about performance, reliability, cost, security, and privacy at each layer.
- Confirm that the official application page still lists the role as open.
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Work Location and Schedule
This role is listed as Remote USA with location information shown as Remote USA. The employment type is Full Time.
About the Company
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