About this role

Lead and mentor a team of 4-6 engineers spanning data platform and ML operations.
Own the reliability, scalability, and evolution of Fingerprint's internal data warehouse.
Oversee the full ML Ops lifecycle end-to-end: experimentation, training pipelines, model deployment, and production monitoring.
Provide technical leadership by collaborating with senior engineers, guiding architecture decisions, and reviewing complex technical proposals.
Work closely with data scientists, product managers, data analysts and engineering leads to translate data and ML investments into measurable product outcomes.
Coach and support engineer growth.

Minimum of 2 years of experience leading data engineering, ML engineering, or platform teams in an agile environment.
At least 5 years of professional experience in data engineering, ML engineering, or adjacent software engineering, particularly within SaaS.
Strong technical background across data infrastructure and ML systems.
Experience managing engineers across multiple technical disciplines.
Proven ability to lead teams shipping high-reliability data products that prioritize quality and user impact.
Demonstrated success driving change and innovation in fast-paced, scaling environments.

Engineering Manager, Data Platform – ML Ops

Key skills