채용
복지 및 혜택
•Equity
•Flexible Hours
•Healthcare
•Parental Leave
필수 스킬
Python
TypeScript
React
RDQ426R108
About the Role
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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.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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, please visit https://www.mybenefitsnow.com/databricks.
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.
총 조회수
0
총 지원 클릭 수
0
모의 지원자 수
0
스크랩
0
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Databricks 소개

Databricks
Series IDatabricks, Inc. is an American software company based in San Francisco. It was founded in 2013 by the original creators of Apache Spark. It offers a cloud-based platform for data analytics and artificial intelligence.
6,000+
직원 수
San Francisco
본사 위치
$43B
기업 가치
리뷰
3.8
10개 리뷰
워라밸
2.8
보상
4.0
문화
4.2
커리어
3.5
경영진
4.0
72%
친구에게 추천
장점
Innovative technology and cutting-edge projects
Supportive and collaborative team environment
Good benefits and competitive compensation
단점
Poor work-life balance and long hours
High pressure and stressful environment
Heavy workload and overtime requirements
연봉 정보
34개 데이터
Mid/L4
Senior/L5
Mid/L4 · Corporate Development Manager
1개 리포트
$171,004
총 연봉
기본급
$148,699
주식
-
보너스
-
$171,004
$171,004
면접 경험
6개 면접
난이도
3.2
/ 5
소요 기간
21-35주
경험
긍정 0%
보통 83%
부정 17%
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Coding Round
5
Onsite/Virtual Interviews
6
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
뉴스 & 버즈
Databricks Highlights Infrastructure Demands of AI Agent Workloads - TipRanks
TipRanks
News
·
3d ago
Governing Coding Agent Sprawl with Unity AI Gateway - Databricks
Databricks
News
·
4d ago
Introducing Genie Agent Mode - Databricks
Databricks
News
·
4d ago
Open Platform, Unified Pipelines: Why dbt on Databricks is Accelerating - Databricks
Databricks
News
·
5d ago