Backed by Battery, Insight and Kleiner Perkins.
About the role
Databricks is looking for a Senior Manager to lead the Continuous Monitoring team. You will own the engineering function that measures whether Databricks' security controls are working — across cloud infrastructure, identity, SaaS, and enterprise systems — and turns that measurement into something the Security organization, and its auditors, can rely on.
What they're looking for
- Hire strong Security Software Engineers who bring genuine engineering skill to compliance automation
- Support engineers in their career development with clear, specific feedback, develop senior ICs into technical leaders and grow the next generation of security engineering managers
- Set and hold a high bar for engineering quality: code review standards, reliability and observability expectations for automation pipelines, and documentation that remains useful across audit cycles and team changes
- Build a team that combines GRC domain knowledge with software engineering discipline, and hire for both
- Own the strategy and roadmap for Databricks' continuous monitoring platform — control state collection at cloud scale, continuous posture assessment, security and GRC tooling integration, and remediation tracking
- Define what the program measures and why: prioritize the controls whose failure would matter most to Databricks' security posture, rather than defaulting to the set a given framework happens to enumerate
More about this role
RDQ227R1175
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
Databricks is the data and AI company. More than 12,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.
Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
The Continuous Monitoring (ConMon) team at Databricks builds and operates the engineering infrastructure that keeps Databricks' security control posture visible, measurable, and defensible at all times.
We build automation that continuously assesses whether security controls are actually working across cloud environments, SaaS platforms, identity systems, and enterprise applications — surfacing drift, coverage gaps, and control failures as they happen rather than at the next audit.
Our work sits at the intersection of security engineering and GRC: we turn control requirements into code, evidence collection into automation, and...
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