前向部署工程经理
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Manager, Forward Deployed EngineeringDatabricks · Remote - 印度
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职位描述
机器翻译CSQ227R28
作为经理（前沿部署工程），您将招聘并管理大数据工程师/架构师，并参与与各区域和客户的技术与设计讨论。您还将通过监督客户在Databricks旅程中的项目来协助我们的客户，并为他们提供指导、知识，使他们能够利用我们的产品实现价值并达成战略目标。该职位预计常驻班加罗尔。 您将产生的影响：
• 招聘优秀人才，并为团队成员提供技术指导、职业发展和辅导
• 作为亲力亲为的经理，与团队中的技术负责人一起参与关键的技术和设计讨论
• 具有领导为现场专业服务团队和合作伙伴开发知识产权、可复用工具和资产的开发经验
• 与关键业务利益相关者合作，确定工作优先级，并打造出色的产品来支持我们的数据平台。
• 管理一支技术数据工程师团队，以实现客户、公司和团队目标
• 作为客户对我们交付有疑问时的第一升级联系人。此外，根据需要向Databricks其他部门升级，以确保快速解决技术和业务问题。
• 为发展和改进内部流程及客户成功服务提供意见。
• 在整个销售和交付过程中，有效地建立并利用客户关系。
我们寻找的条件：
• 12年以上行业经验
• 6年以上面向客户角色的成功经验
• 4年以上领导数据工程师/架构师技术团队的经验
• 在大数据生态系统（Spark、Hadoop生态系统、Cassandra等）方面拥有丰富经验
• 了解AWS/ Azure / GCP
• 了解Databricks生态系统者优先
• 具备出色的文档编写能力，以及强大的项目管理经验。
• 具备强大的能力来管理多个项目，同时提供极高水平的客户满意度。
• 出色的人际交往能力，能够与各类关键业务利益相关者合作。
• 熟悉我们的客户当今面临的业务问题，以及不同行业可能的大数据用例
福利待遇
• 私人医疗保险
• 意外保险
• 员工公积金
• 股权奖励
• 带薪育儿假
• 健身房报销
• 年度个人发展基金
• 工作耳机报销
• 商务旅行保险
关于Databricks
Databricks是一家数据与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。如需了解更多信息，请在LinkedIn、X、YouTube和Instagram上关注Databricks。
在Databricks，我们致力于提供满足所有员工需求的全面福利和津贴。如需了解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。申请Databricks职位的人员不会因年龄、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。
查看雇主原文
职位描述
CSQ227R28
As a Manager (Forward Deployed Engineering) , you will hire & manage Big Data Engineers / Architects and participate in technical and design discussions with regions and customers. You will also assist our customers by overseeing projects in their Databricks journey and provide them with the guidance, knowledge, and enable them to accomplish the value and achieve their strategic objectives using our products. This individual is expected to be based in Bengaluru. The impact you will have:
• Hire great people and provide technical guidance, career development, and mentoring to team members
• Participate in key technical and design discussions with technical leads in the team as a hands-on manager
• Experience leading the development of IP, reusable tooling , and assets for field professional services teams and partners
• Partner with key business stakeholders to prioritise work and create amazing products to support our data platform.
• Manage a team of technical data engineers to achieve customer, company, and team goals
• Acts as the first point of escalation for customers when they have questions with our delivery. Additionally, provides escalation as needed into other parts of Databricks to ensure rapid resolution of technical and business issues.
• Provide input to grow and improve internal processes and customer success service offerings.
• Effectively builds and leverages customer relationships throughout the sales and delivery process.
What we look for:
• 12+ years of industry experience
• 6+ years of successful experience in a customer facing role
• 4+ years of experience leading a technical team of Data Engineers / Architects
• Extensive experience in Big Data ecosystem (Spark, Hadoop ecosystem, Cassandra etc)
• Knowledge of AWS / Azure / GCP
• Knowledge of Databricks ecosystem is a plus
• Proven documentation skills, along with strong project management experience.
• Strong abilities manage multiple engagements , while delivering extremely high levels of customer satisfaction.
• Excellent people skills to partner with various key business stakeholders.
• Conversant with business issues our customers face today and likely big data use cases in different industries
福利待遇
• Private medical insurance
• Accident coverage
• Employee's Provident Fund
• Equity awards
• Paid parental leave
• Gym reimbursement
• Annual personal development fund
• Work headphones reimbursement
• Business travel insurance
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 .
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.