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公共部门现场首席技术官

机器翻译
查看雇主原标题Field CTO - Public Sector

Databricks · Maryland; Virginia; Washington, D.C.

职位信息来自雇主公开的招聘页面。申请前请务必在雇主官网核实详情。

为什么值得关注?

发现指数 52/100,仅依据与该职位一起存储的证据计算。

52/100 发现指数
  • 新的雇主官方职位
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分数构成

  • 时效性 (随职位发布时间变化)+18
  • 雇主官方来源+15
  • 稀有职位+11
  • 公司来源健康度+8

该职位未包含:已披露薪资、远程职位、提及签证担保、提及搬迁、未出现在监控的职位板上。

这些理由来自雇主自己的职位描述与我们核实过的来源检查结果。除了已存储的信号之外,我们不做任何推测。

职位描述

机器翻译

FEQ327R276

Databricks 正在为公共部门业务招聘一名现场首席技术官(Field CTO),担任面向客户的高级技术与任务转型负责人,服务于战略性的政府与教育客户。该岗位为个人贡献者角色,处于数据与 AI 战略、任务现代化、公共部门运营模式以及高管关系建设的交汇点,与 C 级领导者紧密合作,推动数据平台上的多年期变革,同时将现实需求反馈给 Databricks。该角色将专注于帮助各机构、部门和公共机构利用 Databricks Data Intelligence Platform 实现数据资产现代化、加强安全性、改善运营,并负责任地部署 AI 以支持任务成果。

你将产生的影响:

• 在公共部门客户中与 C 级和任务领导层建立并维护值得信赖的顾问关系,包括 CIO、CTO、CDO、CISO、项目高管、任务负责人和转型领导者。

• 塑造高管对安全数据与 AI 现代化的思考,强调湖仓一体和数据平台现代化是公共部门环境中分析、治理和生成式 AI 的基础。

• 主导高管简报会、战略会议和任务研讨会,将机构优先事项、监管义务、安全要求、预算现实和劳动力限制与切实可行的基于 Databricks 的路线图联系起来。

• 作为现场深度技术对口人,具备扎实的 Databricks 产品工作知识(L200-L300 熟练度),并能够可信地与架构师、工程师、分析师、数据科学家和安全利益相关方就设计权衡进行交流。

• 将反复出现的客户需求转化为可复用的公共部门参考架构、解决方案蓝图、技术叙事和思想领导力资产。

• 与客户经理、解决方案架构师、产品专家、专业服务和生态系统合作伙伴合作,推动复杂的多年期平台决策、扩展和任务项目。

• 将战略性公共部门客户的结构化反馈提供给产品、工程和现场领导层,尤其是围绕治理、安全、合规、互操作性和公共部门功能需求

• 指导高级现场工程人才,并帮助编纂复杂公共部门项目的行动手册,包括高管探索、任务价值框架、合作伙伴协调和安全部署模式。

• 通过会议、理事会、圆桌会议、网络研讨会和高管论坛,在外部代表 Databricks 面向高级公共部门受众。

我们寻找的人才:

• 15 年以上经验,涵盖企业技术、咨询和公共部门转型。

• 在美国公共部门机构中工作或与之合作的丰富经验,例如联邦文职机构、国防组织、情报相关环境、州和地方政府或教育领域。

• 在面向客户的售前、技术战略、架构、咨询或转型领导角色方面的直接经验。

• 在现代数据架构方面有深厚背景,包括分布式数据系统、数据工程、分析、治理以及 AI 或机器学习平台。

• 具有公有云环境经验,例如 AWS、Azure 或 Google Cloud。

• 具有与 Databricks 公共部门产品相关的任务领域经验,例如网络安全、公共安全、欺诈检测、福利现代化、国防分析、物流或地理空间和 IoT 驱动的运营。

• 熟悉公共部门采购现实、合作伙伴主导的交付模式,以及政府预算、项目和采购周期的节奏。

• 需要美国公民身份,优先考虑持有有效安全许可

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。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,我们致力于培育多元包容的文化,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 职位的人士不会因年龄、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、社会经济地位、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。

薪资

Databricks 致力于公平公正的薪酬实践。该岗位的薪资范围列于下方,代表非佣金制岗位的预期薪资范围或佣金制岗位的目标收入。实际薪酬方案取决于每位候选人独有的多项因素,包括但不限于与工作相关的技能、经验深度、相关认证和培训以及具体工作地点。基于上述因素,Databricks 预计将使用该范围的完整宽度。该职位的总薪酬方案还可能包括年度绩效奖金、股权以及上述福利的资格。如需了解您所在地区属于哪个范围,请访问我们的页面此处。

当地薪资范围 $264,000 — $363,000 USD

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 Fortune 500 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。

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

FEQ327R276

Databricks is seeking a Field Chief Technology Officer (Field CTO) for the Public Sector business to serve as a senior, customer-facing technology and mission transformation leader for strategic government and education accounts. This individual-contributor role sits at the intersection of data and AI strategy, mission modernization, public-sector operating models, and executive relationship building, working closely with C-level leaders to drive multi-year change on the data platform while representing real-world needs back into Databricks.​ The role will focus on helping agencies, departments, and public institutions use the Databricks Data Intelligence Platform to modernize data estates, strengthen security, improve operations, and deploy AI responsibly in support of mission outcomes.

Impact you will have :

• Build and maintain trusted-advisor relationships with C-level and mission leadership across public-sector accounts, including CIOs, CTOs, CDOs, CISOs, program executives, mission owners, and transformation leaders.

• Shape executive thinking on secure data and AI modernization, emphasizing lakehouse and data platform modernization as a foundation for analytics, governance, and generative AI in public-sector environments.

• Lead executive briefings, strategy sessions, and mission workshops that connect agency priorities, regulatory obligations, security requirements, budget realities, and workforce constraints to practical Databricks-based roadmaps.

• Serve as a deep technical counterpart in the field with strong working knowledge of Databricks products (L200-L300 proficiency) and the ability to credibly engage architects, engineers, analysts, data scientists, and security stakeholders on design trade-offs.

• Translate recurring customer needs into reusable public-sector reference architectures, solution blueprints, technical narratives, and thought leadership assets.

• Partner with Account Executives, Solutions Architects, product specialists, professional services, and ecosystem partners to drive complex, multi-year platform decisions, expansions, and mission programs.

• Provide structured feedback from strategic public-sector customers into Product, Engineering, and Field leadership, especially around governance, security, compliance, interoperability, and public-sector feature requirements

• Mentor senior field engineering talent and help codify playbooks for complex public-sector engagements, including executive discovery, mission-value framing, partner orchestration, and secure deployment patterns.

• Represent Databricks externally with senior public-sector audiences through conferences, councils, roundtables, webinars, and executive forums.

What we look for:

• 15+ years of experience spanning enterprise technology, consulting, and public-sector transformation.

• Significant experience working in or with U.S. public-sector institutions, such as federal civilian agencies, defense organizations, intelligence-related environments, state and local government, or education.

• Direct experience in customer-facing pre-sales, technical strategy, architecture, advisory, or transformation leadership roles.

• Strong background in modern data architectures, including distributed data systems, data engineering, analytics, governance, and AI or machine learning platforms.

• Experience with public cloud environments such as AWS, Azure, or Google Cloud.

• Experience with mission areas relevant to Databricks public-sector offerings, such as cybersecurity, public safety, fraud detection, benefits modernization, defense analytics, logistics, or geospatial and IoT-enabled operations.

• Familiarity with public-sector procurement realities, partner-led delivery models, and the rhythm of government budget, program, and acquisition cycles.

• U.S. citizenship required and active clearance preferred

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.

薪资

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here .

Local Pay Range $264,000 — $363,000 USD

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 .

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