채용
필수 스킬
People leadership
Software Engineering
Data Engineering
Troubleshooting
Team Management
CSQ227R231
Mission
- The Director of Data & AI Support Engineering
- Bangalore will be responsible for leading and growing a regional team of Data & AI technical experts in India, focused on providing resiliency and smooth operation of customer production workloads. This leader will oversee support operations during APJ and EMEA business hours with close alignment with other global teams to ensure 24x7 support coverage through coordination with other regions. This team resolves complex and long-running data engineering use cases raised by Databricks customers to support the success of live use cases - which includes performance optimization, ensuring resiliency of production jobs, helping customers stabilize workloads on new products and features, and more. Reporting to the Global Lead of Frontline Support Engineering
- Data & AI - you are able to understand the real-world business problems our customers are solving with data and are committed to helping them achieve reliability and performance of their systems to meet their goals.
The impact you will have:
-
Serve as the India site leader for an elite team of Data & AI specialists that can provide coverage of customers across EMEA & APJ business hours.
-
Grow the technical expertise of the team to support successful adoption of new products and features of the Databricks platform for customer production workloads.
-
Engage with top customers to understand how to support their business needs with their Data & AI strategy, in collaboration with field engineering and sales when required.
-
Partner with internal product engineering teams to make Databricks products better and more supportable.
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Understand how to maintain high reliability of the Databricks platform to successfully achieve customer business goals.
Competencies & Requirements
-
Proven people leadership experience: at least 6+ years as a manager of managers.
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18+ years in the IT industry, with a strong background in Software Engineering with specialization in Data Engineering, ideally with Big Data & Cloud experience.
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Experience leading large teams (100+ employees) in engineering, technical support, or consulting. Support experience is not required - but
customer facing experience is highly desirable.
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Hands-on experience in at least two of the following at production scale:
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Big Data (Spark, Hadoop, Kafka)
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Machine Learning / Artificial Intelligence projects
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Data Science / Streaming use cases
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Spark expertise is a big advantage.
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Strong background in customer-facing support leadership roles.
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Excellent troubleshooting skills across distributed systems.
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Strong ownership mindset with ability to thrive in a fast-paced, startup-like environment with evolving needs.
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Bachelor’s/Master’s in Computer Science or equivalent technical 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
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3d ago
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4d ago
Introducing Genie Agent Mode - Databricks
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News
·
4d ago
Open Platform, Unified Pipelines: Why dbt on Databricks is Accelerating - Databricks
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News
·
5d ago