A remote Security role at Databricks.
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Original listing text, shown exactly as published by the company.
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Lead a team dedicated to embedding security into Databricks’ core platforms — including compute, identity, data plane, control plane, Kubernetes infrastructure, and developer frameworks.
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Shape company-wide security architecture by driving “secure-by-default” platforms, opinionated frameworks, and systemic guardrails.
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Partner closely with engineering teams to make the secure path the easiest path.
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Eliminate entire classes of security risk through scalable design, not manual reviews or ticket triage.
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Set technical direction and empower engineers to build secure systems at massive scale.
The Impact You Will Have
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Build secure platforms: Integrate security into infrastructure and platform systems from the ground up.
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Create reusable security frameworks: Develop secure reference architectures and automated guardrails that simplify adoption.
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Reduce systemic risks: Identify patterns of architectural weaknesses and drive durable, root-cause fixes across product areas.
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Influence roadmaps: Work with engineering and Red Teams to validate assumptions, improve controls, and strengthen design decisions.
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Scale security leadership: Grow and mentor senior security engineers, ensuring engagement happens early and proactively.
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Drive meaningful outcomes: Within 12 months, your team will enable security frameworks to be adopted by default, eliminate recurring vulnerability classes, and permanently reduce at least one major systemic risk.
What We Look For
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Deep technical background in distributed systems, cloud, or platform security.
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Proven experience securing large-scale, multi-tenant architectures.
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Strong grasp of identity, authorization, isolation, and cryptographic trust boundaries.
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Comfortable influencing principal engineers and product roadmaps.
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Demonstrated success leading technically senior engineers with high autonomy.
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A mindset that focuses on failure chains, not just individual vulnerabilities.
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Passion for building security solutions that are scalable, elegant, and frictionless for developers.
Databricks
Security
46 open roles on Sydicom
Databricks, Inc. is an American software company based in San Francisco. It was founded in 2013 by the original creators of Apache Spark at the University of California, Berkeley. It offers a cloud-based platform for data analytics and artificial intelligence. It operates natively across Amazon Web Services, Microsoft Azure, and Google Cloud Platform. The platform includes an open data marketplace built on the Delta Sharing protocol, and functions as a managed AI infrastructure provider by providing proprietary foundation models—including those from OpenAI, Anthropic, and Google Gemini—directly within its secure perimeter.
Source: Wikipedia
