远程工作雷达

前移部署工程经理

Manager, Forward Deployed Engineering

职能支持限定地区(需当地身份)
公司Databricks
薪资未公开
工作地点Remote - India
地域资格限定地区(需当地身份)
时区要求无特别要求
用工类型未标注
发布时间2026-04-14
数据来源Greenhouse
前往企业招聘页投递 →
注意地域限制:该职位明确限定在 Remote - India 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

CSQ227R28

作为一位经理(前线部署工程师),您将招聘并管理大数据工程师/架构师,并参与与区域和客户的技术和设计讨论。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。该职位需常驻班加罗尔。

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,参与与团队技术负责人的重要技术和设计讨论
  • 有带领开发知识产权、可重用工具和资产的经验,服务于现场专业服务团队和合作伙伴
  • 与关键业务利益相关者合作,优先安排工作并打造出色的产品以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、公司和团队的目标
  • 当客户对我们的交付有疑问时,是他们的第一联系人。此外,在需要时将问题升级到 Databricks 的其他部分,以确保技术及业务问题快速解决
  • 为内部流程和客户成功服务的提升提供输入
  • 在销售和交付过程中有效建立和利用客户关系

我们寻找的人选:

  • 12年以上行业经验
  • 6年以上面向客户的成功经验
  • 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)方面有丰富经验
  • 熟悉 AWS / Azure / GCP
  • 熟悉 Databricks 生态系统者优先
  • 有出色的文档编写能力,同时具备强大的项目管理经验
  • 能够同时管理多个项目,并提供极高的客户满意度
  • 具备优秀的人员沟通能力,能与各类关键业务利益相关者合作
  • 了解客户当前面临的业务问题,以及不同行业的大数据使用场景
  • 有估算服务工作量和范围的经验

福利待遇:

  • 私人医疗保险
  • 意外伤害保险
  • 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
查看英文原文

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
  • Experience estimating effort and scope for services

Benefits :

  • 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.

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 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.

本页面信息整理自 Greenhouse,版权归原发布方所有。职位可能随时关闭,投递请以原始页面为准。 本站只做信息聚合展示,不参与招聘流程,也不向求职者收取任何费用。

该公司其他在招职位

← 返回全部职位