远程工作雷达

资深前移部署工程师

Staff Forward Deployed Engineer

开发工程职能支持限定地区(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2026-07-08
数据来源Greenhouse
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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。

CSQ427R195

作为专业服务团队的资深FDE,您将与各种客户合作,利用Databricks平台解决他们的大数据挑战。在这个以客户为中心的角色中,您将作为值得信赖的顾问,跨多个云环境提供定制的数据工程和数据科学解决方案,确保客户的成功成果。您具备强大的产品开发思维,能够交付可被多个客户在不同领域采用的稳健且可扩展的自动化工具。您具备以AI为重点的问题解决能力,同时确保安全且经过验证的规范,可供不同行业的客户使用。

您将产生的影响:

  • 参与有影响力的客户大数据项目,例如创建参考架构、开发操作指南,并构建生产就绪的高效、稳健且可扩展的工具和技术。
  • 为战略客户提供关于变革性大数据计划的建议,包括第三方迁移以及尖端大数据和AI应用的完整设计、构建和部署。
  • 提供架构和设计方面的专业知识,支持关键客户项目,确保Databricks解决方案的成功采用和集成。
  • 与工程和客户支持团队合作,提供反馈,解决特定于客户的问题,并推动产品的持续改进。
  • 同时管理和指导多个多样化项目,确保遵循良好的架构原则和质量标准,主动识别和缓解风险,并建立牢固的客户信任。

我们寻找的人选:

  • 15年以上在客户售后、技术架构或咨询岗位中使用大数据技术的经验,如Apache Spark™、Kafka、云原生和数据湖
  • 6年以上独立从事大数据架构工作的经验
  • 2年以上基于AI的实施方案经验,包括RAG、MCP、上下文工程等
  • 在Databricks生态系统中有丰富的经验
  • 熟练编写Python或Scala代码
  • 在云平台(GCP/AWS/Azure)上有工作经验
  • 具备文档编写和白板演示技能
  • 优秀的解决问题和批判性思维能力,能够将业务问题转化为可靠的工程技术产品
  • 在支持Databricks相关部署和集成的技术领域具备构建能力
查看英文原文

CSQ427R195

As a Staff FDE in our Professional Services team, you will partner with a diverse range of customers to tackle their big data challenges using the Databricks Platform. In this customer-focused role, you will act as a trusted advisor, delivering tailored solutions in data engineering and data science across multiple cloud environments, ensuring successful outcomes for our clients. You come with a strong product development mindset and deliver robust and scalable automation utilities that can be adopted by multiple customers across the domains. You bring in a strong AI focused problem solving skills yet secure and proven guardrails that can be leveraged by the customers across different sectors.

The impact you will have:

  • Collaborate on impactful customer big data projects, such as creating reference architectures, developing how-to guides, and building production-ready efficient, robust and scalable tools and technologies.
  • Advise strategic customers on transformational big data initiatives, including third-party migrations and the complete design, build, and deployment of cutting-edge big data and AI applications.
  • Provide expertise in architecture and design, and support key customer projects to ensure successful adoption and integration of Databricks solutions.
  • Partner with Engineering and Customer Support teams to deliver feedback, resolve engagement-specific issues, and drive continuous product improvements.
  • Simultaneously manage and guide multiple diverse projects, ensuring adherence to well-architected principles and quality standards, proactively identifying and mitigating risks, and building strong customer trust.

What we look for:

  • 15+ years experience with Big Data Technologies such as Apache Spark™, Kafka, Cloud Native and Data Lakes in a customer-facing post-sales, technical architecture or consulting role
  • 6+ years of experience working on Big Data Architectures independently
  • 2+ years of experience working on AI based implementations including RAG, MCP, Context engineering etc.
  • Strong experience working in the Databricks ecosystem
  • Comfortable writing code in either Python or Scala.
  • Experience working across Cloud Platforms (GCP / AWS / Azure)
  • Documentation and white-boarding skills.
  • Excellent problem solving and critical thinking skills that turn business problems in to reliable technical products
  • Build skills in technical areas that support the deployment and integration of Databricks-based solutions to complete customer projects.
  • Excellent stakeholder management skills to collaborate with both technical and domain experts
  • Highly customer-obsessed, innovative and think beyond the current world and come up with innovative solutions that can last long in the GenAI world

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.

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