Engineering Manager, Data Platform & ML Ops
fingerprint
Mid159 000-215 000 USD
About the position
Lead the Data Platform & ML Ops team, overseeing data infrastructure and ML lifecycle while mentoring engineers.
Tech stack
- aws
- ml-ops
- data-engineering
- clickhouse
- databricks
Requirements
Required:
- 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
- Proven ability to lead teams shipping high-reliability data products that prioritize quality and user impact
Nice to have:
- Experience leading teams in a startup or high-growth environment
- Familiarity with analytical storage systems such as ClickHouse, DataBricks, Snowflake, or BigQuery
- Experience with ML lifecycle tooling — training pipelines, model serving, and production monitoring
Responsibilities
- 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