Responsibilities

Databricks is looking for a Senior Manager to lead the Continuous Monitoring team.
That includes demonstrating control posture against the frameworks the business carries (SOC 2, ISO 27001, FedRAMP, PCI DSS, and emerging AI governance requirements), but the underlying question is broader: are the controls Databricks depends on actually in place and operating everywhere they are supposed to be?
This is an engineering management role. The team writes production Python, operates data pipelines against cloud and SaaS APIs, and integrates with GRC and security tooling. Success is measured in control coverage, the accuracy and timeliness of what the team reports, and how quickly gaps get to the people who can close them.
As the leader of Continuous Monitoring, you'll be responsible for growing and developing the team; setting a clear vision, priority, and strategy; making the case for the headcount and tooling the program needs; and building durable partnerships across GRC (SAC, SAF, Governance, Risk Management, TPRM), IT, Legal, and Engineering — the organizations that own the controls your team monitors.
The Impact You Will Have
Team Building & People Leadership
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.
Control Measurement Program Ownership
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.

Qualification

A product mindsetStrong data fluencyExcellent communication skillsA strong ownership mindsetBackground in security operationsExperience with front-end developmentCISSP

Required

6+ years of experience in technical enablement, product management, learning and development, consulting, field engineering, or program leadership within a high-growth technology company.
A track record of building and scaling something new from ambiguity. You have shaped the strategy, aligned stakeholders, designed the experience, launched it, measured it, and improved it over time.
Strong strategic judgment and executive presence. You can partner with Directors and VPs to shape priorities, make tradeoffs, challenge assumptions constructively, and turn a broad vision into clear decisions.
A product mindset. You start with the user and the problem, test assumptions, design for adoption, and continuously improve the experience based on evidence.
The ability to balance rigor with practicality. You know how to create credible standards and meaningful signals without adding unnecessary friction for the field.
Strong data fluency. You can define useful measures, interpret dashboards, identify patterns, and use data and field feedback to drive decisions.
Experience partnering with internal product, engineering, or platform teams to turn program requirements into scalable tools and workflows.
Genuine curiosity about AI and its impact on technical work, customer engagement, and organizational capability. Hands-on experience using AI to improve assessment, personalization, content, or operations is a plus.
Enough technical fluency in data and AI to work credibly with technical experts and evaluate whether readiness standards are relevant and meaningful - or the curiosity and learning agility to build that fluency quickly.
Excellent communication skills. You can translate between technical practitioners, SME communities, enablement teams, regional leaders, and executive stakeholders.
A strong ownership mindset, with the pace, creativity, and judgment to operate effectively in a distributed, cross-functional environment.

Preferred

Experience with cloud security posture management (CSPM/SSPM) platforms at an architecture level.
Experience with FedRAMP continuous monitoring programs at a leadership level.
Hands-on background with GRC automation platforms (Vanta, Drata, ServiceNow GRC, Archer, or equivalent) at an implementation or architecture level.
Experience building automated monitoring for AI system controls and AI governance frameworks.
Track record of building or scaling a security measurement or compliance engineering function from early-stage to mature operations.
Background in security operations, detection engineering, or security architecture that informs which controls are worth measuring.
Experience with front-end development.
CISSP, CISM, CISA, or equivalent certifications.

Sr Designated Support Engineer at Databricks · LumiJobs

Sr Designated Support Engineer

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Databricks

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