Databricks предлагает чётко очерченную senior-роль в безопасности, зарплату выше рыночного ориентира и практическую работу с защитой данных и AI-системами.
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Широкая зона влиянияЗарплата выше рынкаАктуальные технологииСфера AI
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Staff Enterprise Security Engineer (AI): Securing enterprise applications, cross-system integrations, data flows, and AI-adjacent workflows across the Databricks platform with an accent on security architecture reviews, identity controls, data security, and scalable automation. Focus on assessing trust boundaries and integration risks, building SSPM-style controls and Security AI Personas, and strengthening security requirements across product and enterprise systems.
Location: Remote within the United States; California is listed as the primary location.
Base salary: $155,800–$214,300, $165,600–$227,700, $175,400–$241,100, or $194,800–$267,850 per year, depending on pay zone.
Company
Databricks is a Data and AI company providing a unified platform for data engineering, analytics, AI applications, and agents.
What you will do
Establish an Enterprise Security engagement model with the Data team for corporate production development on the Databricks platform.
Review implementation designs, configurations, data flows, integrations, authentication, authorization, logging, and security controls.
Assess enterprise applications, SaaS platforms, third-party connections, modern access patterns, and AI-adjacent workflows.
Define practical security requirements, provide hardening guidance, track remediation, and improve security outcomes across the development lifecycle.
Build production security automation, monitoring, posture checks, review workflows, and tooling.
Develop automation and agent capabilities, including SSPM-style controls and Security AI Personas.
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 applications, SaaS platforms, integrations, or internally developed systems.
Hands-on familiarity with Databricks or comparable data and AI platforms, including governance, service principals, and data access patterns.
Strong knowledge of authentication, authorization, SSO, federation, SCIM, API security, token handling, secrets management, and least privilege.
Experience building security automation with Python, SQL, Terraform, or similar technologies.
Strong communication skills and the ability to translate technical risk into clear requirements and actionable guidance.
Culture & Benefits
Work remotely from within the United States.
Collaborate with Product Engineering, IT, Legal Privacy, Data, and business stakeholders.
Work in an environment focused on technical judgment, cross-functional partnership, and scalable security engineering.
Benefits and additional compensation may include an annual performance bonus, equity, and region-specific employee benefits.
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