首席解决方案架构师
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Lead Solutions ArchitectDatabricks · Munich, 德国
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职位描述
机器翻译FEQ427R476
工作地点:远程,德国
在 Databricks,我们构建的平台让数据和 AI 能够为整个组织所用,而不仅仅是某个专业团队。我们的客户带着没有现成模板的问题来找我们,而解决方案架构师就是与他们一起解决这些问题的人。
作为首席解决方案架构师,你在技术上和商业上负责本区域最复杂的企业客户关系,并且是更广泛数据社区中公认的声音。衡量你的标准是你对这些客户以及你周围解决方案架构师所产生的影响。
你将产生的影响
• 领导和管理具有定制需求的复杂企业客户,从第一次技术沟通一直到生产上线。
• 向预算负责人和 C 级利益相关者提供有说服力的演示和推介。
• 快速将客户对话转化为可运行的原型,利用 AI 辅助开发在数小时而非数周内构建演示。
• 与现场工程领导层一起指导和培养解决方案架构师和高级解决方案架构师。
• 通过面向客户的资料、研讨会、聚会和会议演讲,在 DACH 市场建立 Databricks 的技术影响力。
• 在该区域制定并推广最佳实践和可重复的流程。
• 与内部领域专家、产品团队和领导层建立紧密的合作关系。
我们寻找的条件
• 流利的德语和商务级英语。两者每天都会在与客户和内部的沟通中使用。
• 在技术售前方面拥有丰富经验,包括在整个销售生命周期中处理复杂的客户互动。
• 能够推动与 C 级高管的技术和业务对话,协调跨职能团队,并影响结果以实现客户的长期成功。
• 在数据领域有出色的业绩记录,并在数据工程或数据科学中至少一个领域拥有深厚专业知识。
• 具备 Python 和 SQL 的动手编码能力。
• 在自己的工作中每天熟练使用 AI 工具。编码助手和智能体是你工作方式的一部分,而不是偶尔尝试的东西。
• 能够 vibe-code 一个演示:借助 AI 为特定客户问题组装一个可信、可运行的原型,并识别输出中哪些地方仍需要你自己的判断。
• 在至少一个主流公有云上运行复杂概念验证的动手经验。
• 具备判断力,能够优先考虑正确的用例和投资,并应对竞争格局。
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 Fortune 500 企业——依赖 Databricks Data + AI Platform 来构建和扩展数据与 AI 应用、分析和智能体。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。
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。有关你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,并且雇主可能仅基于这一理由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
FEQ427R476
Location: Remote, Germany
At Databricks, we build the platform that makes data and AI usable across an entire organization, not just in a specialist team. Our customers come to us with problems that have no template, and the Solutions Architects are the people who work those problems out with them.
As a Lead Solutions Architect, you own our most complex enterprise relationships in the region, technically and commercially, and you act as a recognized voice in the wider data community. You will be measured by the impact you have on those accounts and on the Solutions Architects around you.
The impact you will have
• Lead and manage complex enterprise accounts with custom requirements, from the first technical conversation through to production.
• Deliver compelling demos and pitches to budget holders and C-level stakeholders.
• Turn customer conversations into working prototypes fast, using AI-assisted development to build demos in hours rather than weeks.
• Mentor and develop Solutions Architects and Senior SAs together with Field Engineering leadership.
• Build Databricks' technical presence in the DACH market through customer-facing collateral, workshops, meetups, and conference talks.
• Develop and roll out best practices and repeatable processes across the region.
• Establish close working relationships with internal SMEs, product teams, and leadership.
What we look for
• Fluent German and business-level English. Both are used daily with customers and internally.
• Substantial experience in technical pre-sales, including complex customer interactions across the full sales lifecycle.
• Ability to drive technical and business conversations with C-level executives, orchestrate cross-functional teams, and influence outcomes toward long-term customer success.
• Strong track record in the data landscape, with deep expertise in at least one of data engineering or data science.
• Hands-on coding ability in Python and SQL.
• Daily, fluent use of AI tools in your own work. Coding assistants and agents are part of how you operate, not something you try out occasionally.
• Able to vibe-code a demo: assemble a credible, working prototype for a specific customer problem with AI assistance, and recognize where the output still needs your own judgment.
• Hands-on experience running complex proofs of concept on at least one major public cloud.
• Judgment to prioritize the right use cases and investments, and to navigate a competitive landscape.
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.