Staff Analytics Engineer, Compliance Data
Core
Lead data foundations for the Compliance Data team, defining technical direction for compliance data modeling, validation, and certification at scale to support regulatory reporting.
Role type
Staff Analytics Engineer (Compliance Data)
Builds
Production-grade data models, pipelines, quality frameworks, and certification processes for user, transaction, and compliance data.
Domain
Financial Services / Regulatory Compliance
Deliverable
production ML models | product features
Required skills
SQL, Python, dimensional modeling, data contracts, data quality automation, orchestration frameworks, Snowflake, Databricks, regulatory data delivery, technical leadership, generative AI oversight
Preferred skills
Experience leading under regulatory pressure, influencing engineering practices beyond immediate team, mentoring engineers
Technologies
dbt, Airflow, Snowflake, Databricks
Responsibilities
Own systems, architecture, and roadmap for compliance data including models and pipelines; Build production-grade solutions for retail and institutional product lines; Drive data quality at source via validation frameworks and monitoring; Partner with upstream/downstream teams to close data gaps; Lead response to live regulatory exams and audits; Shape engineering standards through architectural decisions and mentorship
Seniority
Staff, hands-on IC with strategic influence
