Senior Compliance Tech Analyst, Platform (Compliance Automation)

About the role

This role focuses on building and maintaining the data infrastructure that underpins Coinbase's compliance detection and decision-making processes. The work involves creating curated datasets and data models for areas like transaction monitoring and KYC, ensuring these systems have accurate and reliable information. A key part of the job is to ensure the quality and integrity of compliance data through validation, monitoring, and documentation.

The Senior Compliance Tech Analyst will collaborate with engineering teams and compliance stakeholders to address data gaps and standardize data instrumentation. This includes translating compliance requirements into scalable data structures. The position also involves analyzing detection outputs to improve signal quality, defining success metrics, and building reporting pipelines for compliance leaders and auditors.

Success in this position means delivering robust, audit-ready data solutions that enhance the effectiveness of compliance controls. This involves measuring control effectiveness based on coverage, timeliness, and stability, and ensuring that compliance leaders have access to clear, repeatable reports. The role requires a proactive approach to data quality and a strong ability to drive projects in a regulated environment.

The annual base salary for this role ranges from $167,280 to $196,800 USD, with total compensation potentially including equity, bonus eligibility, and benefits.

Skills that matter here

• SQL: This role requires advanced proficiency in SQL for complex data transformations, performance optimization, and data quality checks within compliance datasets.
• ETL: Experience with ETL/ELT pipelines is necessary for building and maintaining the data flows that power compliance controls.
• Python: Python skills are used for automation, developing pipelines, and conducting data analysis related to compliance data.
• dbt: This tool is used for building and maintaining data models and transformation frameworks within the compliance data infrastructure.
• Airflow: Experience with Airflow or similar orchestration tools is required for managing and scheduling data pipelines.

Who this role suits

• Someone with 3-5 years of experience in analytics or data engineering roles, especially in data-heavy environments.
• An individual who can effectively execute ambiguous, cross-functional projects in regulated settings.
• A person who communicates clearly, both in writing and verbally, to bridge technical and compliance teams.
• A professional who responsibly utilizes generative AI, maintaining human oversight for business-ready outputs.

From the employer

What you'll do

• Build and maintain curated datasets and data models (e.g., case, alert, entity, transaction, and risk features) that power compliance controls across Transaction Monitoring, EDD/KYC, and Screening systems.
• Own data quality for compliance datasets by implementing validation checks, monitoring, lineage tracking, and documentation to ensure outputs are accurate, complete, and audit-ready.
• Partner with cross-functional engineering teams and Compliance stakeholders to close upstream data gaps, standardize instrumentation, and translate control requirements into scalable data structures and feature sets.
• Drive detection signal quality improvements by analyzing detection outputs, identifying opportunities to reduce non-actionable noise while protecting sensitivity, and defining success metrics for controlled rollouts.
• Execute measurement frameworks for compliance control effectiveness, including coverage, timeliness, stability, and outcome-based metrics, and build repeatable reporting pipelines consumable by Compliance leaders, operations teams, and auditors.

Required Skills and Experience

• 3-5 years of experience in analytics engineering, data engineering, or data-heavy technical roles.
• Advanced SQL proficiency including complex transformations, performance tuning, and data quality checks.
• Experience building and maintaining ETL/ELT pipelines and data models using tools such as dbt, Airflow, or equivalent orchestration/transformation frameworks.
• Demonstrated ability to execute on ambiguous, cross-functional projects in regulated environments with clear written and verbal communication.
• Python skills applied to automation, pipeline development, and data analysis.
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

Pay Transparency Notice

• Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)). Annual base salary range (excluding equity and bonus): $167,280—$196,800 USD.
• Application Limit: Candidates may submit a maximum of 4 applications per 30-day period.
• Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws.