高级经理 - 技术解决方案（大数据 / AI）
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Senior Manager - Technical Solutions (Big Data / AI)Databricks · Bengaluru, 印度
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职位描述
机器翻译CSQ127R179
使命
技术解决方案工程部的高级经理（数据与AI）将负责领导和壮大一支位于印度的区域数据与AI技术专家团队，专注于为客户生产工作负载提供韧性和平稳运行。该领导者将负责在APJ和EMEA工作时间内监督支持运营，并与其他全球团队紧密协作，通过与其他区域的协调确保24x7支持覆盖。该团队解决Databricks客户提出的复杂且长期运行的数据工程用例，以支持实时用例的成功——包括性能优化、确保生产作业的韧性、帮助客户在新产品和功能上稳定工作负载等。您将能够理解客户使用数据解决的真实业务问题，并致力于帮助他们实现系统的可靠性和性能，以达成其目标。
您将产生的影响：
• 担任技术解决方案经理，领导一支精英数据与AI专家团队，能够在EMEA和APJ工作时间内为客户提供覆盖。
• 提升团队的技术专长，以支持客户生产工作负载成功采用Databricks平台的新产品和功能。
• 与顶级客户互动，了解如何通过其数据与AI战略支持其业务需求，并在需要时与现场工程和销售团队协作。
• 与内部产品工程团队合作，使Databricks产品更好、更易于支持。
• 了解如何保持Databricks平台的高可靠性，以成功实现客户业务目标。
能力与要求
• 成熟的人员领导经验：至少3年以上经理经验
• 12年以上IT行业经验，具备软件工程的深厚背景，专精于数据工程，最好拥有大数据与云经验。
• 具有在工程、技术支持或咨询领域领导团队的经验。不要求支持经验——但面向客户的经验非常理想。
• 在生产规模下至少具备以下两项的实操经验：
• 大数据（Spark、Hadoop、Kafka）
• 机器学习/人工智能项目
• 数据科学/流式处理用例
• Spark专长是很大的优势。
• 在面向客户的支持领导角色方面拥有深厚背景。
• 出色的分布式系统故障排除技能。
• 强烈的担当意识，能够在需求不断变化的快节奏、类似初创企业的环境中茁壮成长。
• 计算机科学或同等技术领域的学士/硕士学位。
关于Databricks
Databricks是数据与AI公司。全球超过20,000家组织——包括adidas、AT&T、Bayer、Block、Mastercard、Rivian、Unilever以及70%的财富500强企业——依赖Databricks Data + AI Platform来构建和扩展数据与AI应用、分析和代理。Databricks总部位于旧金山，在全球拥有30多个办事处，提供统一平台，包括Genie、Lakebase、Agent Bricks、Lakeflow、Lakehouse和Unity Catalog。如需了解更多，请在LinkedIn、X、YouTube和Instagram上关注Databricks。
福利待遇
在Databricks，我们致力于提供全面的福利和津贴，以满足所有员工的需求。有关您所在地区所提供福利的具体详情，请点击此处。
我们对多元与包容的承诺
在Databricks，我们致力于营造多元和包容的文化，让每个人都能脱颖而出。我们非常重视确保我们的招聘实践具有包容性，并符合平等就业机会标准。在Databricks寻求就业的个人，不会因年龄、肤色、残疾、族裔、家庭或婚姻状况、性别认同或表达、语言、国籍、身体和心理能力、政治派别、种族、宗教、性取向、社会经济状况、退伍军人身份以及其他受保护特征而受到区别对待。
合规
如果履行工作职责需要访问受出口管制的技术或源代码，雇主可自行决定是否为此类职位申请美国政府许可证，且雇主可能仅基于此原因而拒绝继续推进某位申请人。
以上内容由机器翻译自动生成，可能存在错误；投递前请以雇主原文为准。
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职位描述
CSQ127R179
MissionThe
Senior 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:
• 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.
• 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.
• Understand how to maintain high reliability of the Databricks platform to successfully achieve customer business goals.
Competencies & Requirements
• Proven people leadership experience: at least 3+ years as a manager
• 12+ years in the IT industry, with a strong background in Software Engineering with specialization in Data Engineering, ideally with Big Data & Cloud experience.
• Experience leading teams either in engineering, technical support, or consulting. Support experience is not required - but customer facing experience is highly desirable .
• Hands-on experience in at least two of the following at production scale:
• Big Data (Spark, Hadoop, Kafka)
• Machine Learning / Artificial Intelligence projects
• Data Science / Streaming use cases
• Spark expertise is a big advantage.
• Strong background in customer-facing support leadership roles.
• Excellent troubleshooting skills across distributed systems.
• Strong ownership mindset with ability to thrive in a fast-paced, startup-like environment with evolving needs.
• Bachelor’s/Master’s in Computer Science or equivalent technical field.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .
福利待遇
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 click here .
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.