Senior Staff, Compliance Tech: Global Data & Controls Lead

Coinbase, Inc.; Austin (TX); Remote; USD 230,000 - 271,000; Full time

Job summary

Coinbase, Inc. is seeking a senior technical leader to set the direction for compliance data and control systems, building large-scale, reliable solutions that support global regulatory requirements.

You will translate long-term priorities into measurable roadmaps, frame complex problems, and drive cross-functional delivery across Product, Engineering, Compliance, and Operations. You will own operational health, monitor data quality and control performance, and influence architectural decisions

Qualifications

• 10+ years in building data-intensive systems with leadership in compliance data and controls.
• Deep expertise in compliance data systems and architectural decisions.
• Experience leading cross-functional technical initiatives end-to-end.
• Experience building reliable data pipelines, models, multi-tenant controls.
• Ability to influence stakeholders without formal authority.
• Strong judgment balancing regulatory needs with reliability and UX.
• Excellent communication and incident leadership.

Responsibilities

• Set technical direction for compliance data and control systems.
• Define multi-year roadmaps aligned with regulatory requirements and growth.
• Lead cross-functional initiatives with Product, Engineering, Compliance, Ops.
• Own operational health: monitoring, incident response, remediation.
• Mentor analytics and data practitioners.

Skills

Data-intensive systems

Compliance data

Architectural decisions

Cross-functional leadership

Data quality

Job description

Coinbase, Inc. is seeking a senior technical leader to set the direction for compliance data and control systems, building large-scale, reliable solutions that support global regulatory requirements.

You will translate long-term priorities into measurable roadmaps, frame complex problems, and drive cross-functional delivery across Product, Engineering, Compliance, and Operations. You will own operational health, monitor data quality and control performance, and influence architectural decisions