Remote opportunity at
DatabricksStaff Enterprise Security Engineer
Databricks is seeking a Staff Enterprise Security Engineer to join its team. Operating as a data and artificial intelligence company, Databricks helps over 20,000 global organizations…
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About This Role
Databricks is seeking a Staff Enterprise Security Engineer to join its team. Operating as a data and artificial intelligence company, Databricks helps over 20,000 global organizations construct and scale data and AI solutions, analytics, and applications through its unified platform. This role sits at the crossroads of business enablement, product security partnership, enterprise architecture, and security engineering. The chosen candidate will expand enterprise security coverage across a fast-paced ecosystem, focusing…
Job Description
Databricks is seeking a Staff Enterprise Security Engineer to join its team. Operating as a data and artificial intelligence company, Databricks helps over 20,000 global organizations construct and scale data and AI solutions, analytics, and applications through its unified platform. This role sits at the crossroads of business enablement, product security partnership, enterprise architecture, and security engineering.
The chosen candidate will expand enterprise security coverage across a fast-paced ecosystem, focusing on safeguarding internal applications, data pathways, cross-system integrations, and emerging AI-related scenarios. Responsibilities involve partnering with the data division to handle corporate production development on the Databricks platform, conducting security assessments, overseeing configurations, and building security automation.
Responsibilities
- Engage with the data team on corporate production development within the Databricks platform through security reviews, hardening, and configuration oversight
- Assess new technologies, workflows, and integrations focusing on secure design, identity management, logging, data handling, and third-party connectivity
- Collaborate across functions with IT, Product Engineering, Legal Privacy, and business stakeholders to surface risks early and define clear requirements
- Develop production security automation, posture checks, monitoring capabilities, and review tooling using languages such as Python, SQL, or Terraform
- Establish structured engagement models to track remediation and guide teams on data flows, integration patterns, and AI-adjacent workflows
Requirements
- Minimum of eight years of professional background in security engineering, application security, cloud security, or enterprise security
- Experience performing security architecture or design reviews for enterprise applications, SaaS platforms, integrations, or product features
- Familiarity with the Databricks platform or comparable data and AI tools including workspace governance, Unity Catalog, service principals, and access patterns
- Knowledge of authentication, authorization, SCIM, federation, SSO, token handling, secrets management, and least privilege principles
- Demonstrated ability to build production security automation, tooling, monitoring, or posture checks
- Strong communication skills for translating technical risks into actionable requirements
Core Skills
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the employment type for this position?
The posting indicates this is a full-time position.
Where is the role located?
Candidates in listed locations are encouraged to apply, and other US-based locations will also be considered.
What is the salary range for this role?
The base salary ranges from USD 155,800 to 267,850 per year, varying by location zone and other individual factors.
How many years of experience are required?
Applicants must have at least eight years of experience in security engineering, enterprise security, application security, cloud security, or a closely related field.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.
