[All remote jobs](https://jobicy.com/jobs.md)[![Databricks logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2021/12/4e3f864ba9cf3c62d471e1c62414d098.jpg)](https://jobicy.com/company/databricks.md)[Databricks](https://jobicy.com/company/databricks.md) # Staff Enterprise Security Engineer AI Summary Databricks is seeking a Staff Enterprise Security Engineer to strengthen security across enterprise applications, integrations, data flows, internal platforms, and AI-connected systems. The role performs security design and architecture reviews, establishes practical controls, and partners with Data, Product Engineering, IT, Legal, Privacy, and business teams. It requires deep expertise in identity, authorization, API and token security, data governance, cloud controls, and security automation. The engineer will build scalable monitoring and posture capabilities while influencing secure implementation practices without owning product delivery.[Apply for this job](#job-application)[View company](https://jobicy.com/company/databricks.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 155,800–267,850 / yrDepartment[Cybersecurity](https://jobicy.com/categories/cybersecurity.md)EmploymentFull TimeExperienceSeniorPublished8 Nov 2026Apply before8 Dec 2026Listing views47Application actions1Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. Opportunity details ## About this role. RDQ227R1176 While candidates in the listed location(s) are encouraged for this role, candidates in other locations (US based) will be considered. ### Mission [Databricks](https://jobicy.com/company/databricks.md) is hiring an L6 Staff Enterprise Security Engineer to expand Enterprise Security coverage across a rapidly evolving enterprise and product environment. This role will focus on securing enterprise applications, cross-system integrations, data flows, and emerging AI-adjacent use cases. The scope includes partnership with the Data team on corporate production development within the Databricks platform, through security reviews of implementation designs, hardening, configuration oversight, and broader enterprise data-security discussions, as well as modern access patterns such as MCP, integration, and trust boundary security, security automation, and broader security engineering support across enterprise platforms and services. This engineer will help identify risk, define practical security requirements, and improve security outcomes through strong technical judgment, hands-on engineering, and cross-functional partnership. ### Opportunity This role sits at the intersection of enterprise architecture, security engineering, product security partnership, and business enablement. Corporate production development within the Databricks platform remains owned by the Data team; EntSec defines how we engage, reviewing implementation designs, configurations, and data flows as capabilities are built, alongside ongoing enterprise application and integration reviews. The engineer will assess new technologies, integrations, and workflows with an emphasis on secure design, authentication and authorization, data handling, logging, third-party connectivity, API and token security, and operational resilience. The role partners closely with Product Engineering, IT, Legal Privacy, and business stakeholders to surface risk early, set clear requirements, and build automation that scales security coverage. This is a strong opportunity to help shape how Enterprise Security supports Databricks product development, enterprise data security, SaaS, and internal platforms, automation, and AI-connected systems as the environment continues to grow in complexity. ### Requirements * 8+ years of experience in security engineering, enterprise security, application security, cloud security, or a related field. * Experience conducting security design or architecture reviews for product features, enterprise applications, SaaS platforms, integrations, or internally developed systems. * Hands-on familiarity with the Databricks platform or comparable data/AI platforms (Unity Catalog, workspace governance, service principals, data access patterns). * Strong understanding of authentication, authorization, SSO, federation, SCIM, API security, token handling, secrets management, and least privilege design. * Experience assessing data flows, third-party integrations, trust boundaries, logging and monitoring, and security controls across interconnected systems. * Proven track record building security automation in production: monitoring, posture checks, review workflows, or tooling (Python, SQL, Terraform, or similar). * Ability to evaluate risk in modern enterprise environments, including automation platforms, AI-adjacent workflows, and emerging integration patterns such as MCP. * Strong written and verbal communication skills, including the ability to translate technical risk into clear requirements and actionable guidance. * Experience driving security outcomes through engineering judgment, influence, and scalable process improvement. * Familiarity with cloud platforms, enterprise identity systems, and core control domains such as audit logging, encryption, access control, data retention, and incident response. ### Outcomes * OUTCOME 1: Establish a consistent EntSec engagement model with the Data team on corporate production development within the Databricks platform: security review of implementation designs, hardening guidance, configuration oversight, and tracked remediation, while Data retains ownership of product development and delivery. * OUTCOME 2: Strengthen security practices across enterprise applications, integration, and data-security reviews by identifying key risks early, improving requirement quality, and helping teams address security issues earlier in the lifecycle, including AI-adjacent workflows, data flows, and integration patterns. * OUTCOME 3: Build automation and agent capabilities, including SSPM-style controls and Security AI Personas, that help secure systems from the start, reduce dependency on manual review, and embed security guidance earlier in product and integration lifecycles. ### Competencies * COMPETENCY 1: Product and Design Security Partnership. Partners effectively with product and engineering teams to review implementation designs, surface risk early, and drive practical security requirements without owning product delivery. * COMPETENCY 2: Data Security and Technical Judgment. Applies strong security judgment to data flows, platform configurations, access patterns, and enterprise data-security decisions on and across the Databricks platform. * COMPETENCY 3: Security Automation and Scalable Engineering. Builds durable automation, monitoring, and tooling that scales EntSec coverage and reduces repeated manual work. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page [here](https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf). Zone 1 Pay Range $194,800—$267,850 USD Zone 2 Pay Range $175,400—$241,100 USD Zone 3 Pay Range $165,600—$227,700 USD Zone 4 Pay Range $155,800—$214,300 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on [LinkedIn](https://www.linkedin.com/company/databricks), [X](https://x.com/databricks), [YouTube](https://www.youtube.com/@Databricks), and [Instagram](https://www.instagram.com/databricksinc/?hl=en). Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click [here](https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing). Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer’s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Show more [Apply now >](https://jobicy.com/jobs/159859-staff-enterprise-security-engineer.md) * ![Upload CV](data:image/svg+xml;base64,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) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a senior staff-level role requiring more than eight years of broad security engineering experience and strong judgment across complex enterprise, data, cloud, and AI-adjacent environments. Success depends on independently resolving ambiguous risks and influencing multiple technical and business stakeholders. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$211,825US market range (per year)$180k–$285k0$313.50k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The disclosed US base-pay ranges span $155,800–$267,850 per year depending on geographic compensation zone. The estimated market range for a US Staff Enterprise Security Engineer is $180,000–$285,000 annually; the employer range is credible for a staff-level security engineering position. The annual cadence is inferred from the stated full-time US base-pay amounts because the posting does not explicitly state a pay period. ## Core skills Skills and capabilities most closely associated with this opportunity. [Enterprise security engineering](https://jobicy.com/jobs?search_keywords=Enterprise%20security%20engineering.md)[Security architecture reviews](https://jobicy.com/jobs?search_keywords=Security%20architecture%20reviews.md)[Application security](https://jobicy.com/jobs?search_keywords=Application%20security.md)[Cloud security](https://jobicy.com/jobs?search_keywords=Cloud%20security.md)[Identity and access management](https://jobicy.com/jobs?search_keywords=Identity%20and%20access%20management.md)[SSO and federation](https://jobicy.com/jobs?search_keywords=SSO%20and%20federation.md)[SCIM](https://jobicy.com/jobs?search_keywords=SCIM.md)[API security](https://jobicy.com/jobs?search_keywords=API%20security.md)[Secrets management](https://jobicy.com/jobs?search_keywords=Secrets%20management.md)[Data security](https://jobicy.com/jobs?search_keywords=Data%20security.md)[Security automation](https://jobicy.com/jobs?search_keywords=Security%20automation.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[Terraform](https://jobicy.com/jobs?search_keywords=Terraform.md)[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[Threat modeling](https://jobicy.com/jobs?search_keywords=Threat%20modeling.md) Sample interview questionsHow would you approach a security review for a new integration that exchanges sensitive enterprise data with a third-party SaaS provider?I would map the data flow, classify the data, identify trust boundaries, and evaluate authentication, authorization, token lifecycle, encryption, logging, retention, and vendor controls. I would document prioritized risks, define concrete security requirements, and work with the owning team to track remediation before release. Describe an automation initiative that reduced manual security-review work. I would build policy-driven checks into development and deployment workflows, such as validating identity configurations, secrets exposure, logging coverage, or infrastructure posture. I would measure coverage and remediation time, tune findings to reduce noise, and maintain an exception process for legitimate business needs. What security controls are most important when reviewing service principals and machine-to-machine access? I would apply least privilege, short-lived credentials where possible, scoped permissions, secure secret storage, rotation, ownership metadata, and continuous audit logging. I would also review whether service identities have clear lifecycle controls and whether access can be constrained by workload, environment, and network context. How do you communicate a significant technical security risk to a product team that is focused on delivery deadlines? I explain the risk in terms of realistic impact, affected assets, likelihood, and operational consequences rather than security jargon alone. I propose proportionate options, distinguish release blockers from follow-up work, and collaborate on a remediation plan that protects the business while preserving delivery momentum. How would you assess an AI-adjacent workflow that uses external tools and MCP-style integrations? I would assess the permissions granted to agents and tools, data exposure paths, prompt and tool-input validation, token handling, auditability, isolation boundaries, and third-party trust assumptions. I would require explicit authorization boundaries, logging, least-privilege access, and controls that prevent unintended data access or unsafe actions. Next step ## Apply now. 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