採用
必須スキル
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:
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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.
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Grow the technical expertise of the team to support successful adoption of new products and features of the Databricks platform for customer production workloads.
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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.
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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
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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について

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+
従業員数
San Francisco
本社所在地
$43B
企業価値
レビュー
3.8
10件のレビュー
ワークライフバランス
2.8
報酬
4.0
企業文化
4.2
キャリア
3.5
経営陣
4.0
72%
友人に勧める
良い点
Innovative technology and cutting-edge projects
Supportive and collaborative team environment
Good benefits and competitive compensation
改善点
Poor work-life balance and long hours
High pressure and stressful environment
Heavy workload and overtime requirements
給与レンジ
34件のデータ
Mid/L4
Senior/L5
Mid/L4 · Corporate Development Manager
1件のレポート
$171,004
年収総額
基本給
$148,699
ストック
-
ボーナス
-
$171,004
$171,004
面接体験
6件の面接
難易度
3.2
/ 5
期間
21-35週間
体験
ポジティブ 0%
普通 83%
ネガティブ 17%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Coding Round
5
Onsite/Virtual Interviews
6
Offer
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
ニュース&話題
Databricks Highlights Infrastructure Demands of AI Agent Workloads - TipRanks
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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