招聘
必备技能
People management
Data Engineering
Technical troubleshooting
Customer support
CSQ127R179
Mission
The Manager (Data & AI) for Technical Solutions Engineering 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. You will be 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 Tech Solutions Manager 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 3+ years as a manager
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12+ 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 teams either 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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关于Databricks

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+
员工数
San Francisco
总部位置
$43B
企业估值
评价
3.8
10条评价
工作生活平衡
2.8
薪酬
4.0
企业文化
4.2
职业发展
3.5
管理层
4.0
72%
推荐给朋友
优点
Innovative technology and cutting-edge projects
Supportive and collaborative team environment
Good benefits and competitive compensation
缺点
Poor work-life balance and long hours
High pressure and stressful environment
Heavy workload and overtime requirements
薪资范围
34个数据点
Mid/L4
Senior/L5
Director
Mid/L4 · GLOBAL MOBILITY OPERATIONS MANAGER
2份报告
$162,000
年薪总额
基本工资
$130,071
股票
-
奖金
-
$162,000
$162,000
面试经验
6次面试
难度
3.2
/ 5
时长
21-35周
体验
正面 0%
中性 83%
负面 17%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Coding Round
5
Onsite/Virtual Interviews
6
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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