Staff Data Engineer

Architect, build, and maintain scalable data pipelines (batch and streaming) handling petabyte-scale datasets for model development and production use.
Develop platforms enabling rapid model experimentation, training, evaluation, versioning, and deployment of ML models.
Implement automated monitoring for data drift, model performance, and operational health to keep models accurate against evolving fraud patterns.
Collaborate with data scientists and product teams to shorten the path from concept to production while ensuring security and traceability.
Provide self-service tooling and infrastructure to empower data scientists while upholding engineering excellence and cost efficiency.
Lead cross-team initiatives, mentor engineers, and help shape platform strategy and best practices in distributed systems and MLOps.