Engineering Manager, Data Platform & ML Ops
Core
Lead the Data Platform & ML Ops team to build and maintain the internal data warehouse and full ML lifecycle infrastructure for Fingerprint's identification and smart signals products.
Role type
Engineering Manager, Data Platform & ML Ops
Builds
Internal data warehouse, ML training pipelines, model deployment systems, and production monitoring tools
Domain
SaaS, Data Infrastructure, Machine Learning Operations
Deliverable
infrastructure
Required skills
Team leadership, Data engineering, ML engineering, Cloud infrastructure, Agile management, Technical architecture, Product analytics, System reliability, Change management, Cross-functional collaboration
Preferred skills
ClickHouse, DataBricks, dbt, Prefect, DataHub, AWS SageMaker, Snowflake, BigQuery, ML lifecycle tooling
Responsibilities
Lead and mentor a team of 4-6 engineers, Own the reliability and scalability of the internal data warehouse, Oversee the full ML Ops lifecycle from experimentation to production monitoring, Provide technical leadership on architecture decisions, Collaborate with data scientists and product managers to translate investments into outcomes, Define and evolve platform standards and best practices
Seniority
Manager, hands-on technical leadership
