채용
복지 및 혜택
•Equity
•Healthcare
•Learning
필수 스킬
React
TypeScript
Node.js
RDQ426R268
Databricks builds and operates some of the largest scale software systems on the planet. Every action and every operation performed on Databricks depends on reliable serving of identity information (users, groups, service principals). This puts Identity services into the critical path of everything else at Databricks and imposes the highest requirements for availability, scalability and performance.
As a Sr. Manager, Engineering on the Identity Platform team, you will build and operate highly available and scalable services that manage identities across multiple products in Databricks, allowing it to seamlessly scale and run across various geographic regions and clouds, and make Databricks the go-to product for big data processing in the cloud.
The impact you will have:
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You will hire great engineers to build an outstanding team
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You will support engineers in their career development by providing clear feedback, as well developing engineering leaders
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You will ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence)
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You will work with engineering and product leadership to build a long-term roadmap
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You will coordinate execution and collaborate across teams to unblock cross-cutting projects
What we look for:
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Great at hiring and developing talent, especially leadership
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Great at creating efficient processes that increase velocity and quality
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Managed teams that build and operate high-volume distributed systems in a SaaS environment
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5+ years of experience with distributed systems and building services on top of containers
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Have experience scaling engineering teams from 5 to 20+
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Team player that will work with other departments (PM, CS) and engineering teams.
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BS or higher in Computer Science, or a related field
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.
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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