Engineering Manager, Data Platform & ML Ops

Engineering Manager, Data Platform & ML Ops We are looking for an Engineering Manager to lead the team responsible for Fingerprint's data foundation—from our internal data warehouse to the full ML Ops lifecycle that turns raw signals into production models. You will foster a culture of high performance, help engineers grow, and deliver the reliable, scalable infrastructure our identification and smart signals products depend on. What You’ll Do 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, promoting continuous learning across a fast‑moving data and ML landscape. Define and evolve platform standards, tooling, and best practices across both domains. Requirements 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. Hands‑on experience in both data infrastructure and ML systems is a must. 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. Preferred Qualifications 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. Experience with AWS and cloud‑based data and ML infrastructure. Technologies Data Platform: ClickHouse, DataBricks, dbt, Prefect, DataHub ML Ops: AWS SageMaker Infrastructure: AWS Compensation Range For US‑based employees, the cash compensation range for this role is $159,000 – $215,000. This range is specific to the hiring location and may differ within or outside the US. We are dedicated to creating an inclusive work environment for everyone. We embrace and celebrate the unique experiences, perspectives, and cultural backgrounds that each employee brings to our workplace. Fingerprint strives to foster an environment where our employees feel respected, valued and empowered, and our team members are at the forefront in helping us promote and sustain an inclusive workplace. We highly encourage people from underrepresented groups in tech to apply. #J-18808-Ljbffr Fingerprint