解决方案架构师 - Benelux Fungible
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Solutions Architect - Benelux FungibleDatabricks · Amsterdam, 荷兰
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分数构成
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职位描述
机器翻译职位编号：FEQ327R409
团队
Fungible 团队是现场工程组织内的“快速响应小队”，负责与客户就比荷卢和北欧地区最具战略性、潜力最大的机会进行接触，以加速关键用例、赢得技术胜利，并推动 Databricks 的成功采用。如果你喜欢在备受瞩目的项目中处理各行各业的创新用例，这里就是你的理想归宿！
岗位职责
作为 Fungible 解决方案架构师，你在限定时长、目标明确的客户接触中主导技术战略——通常为一到五个月——旨在加速一组特定的关键客户工作负载，从评估阶段推进到生产级技术胜利。你主导架构对话，推动平台采用，并作为客户架构师和工程领导者的可信顾问，然后将你建立的势头移交给核心客户团队。
你具备技术深度，以及在需要高度自主且备受瞩目的情况下快速运用它的判断力。如果某项专长能帮助你快速做出贡献，那很好——但在这个团队中，广度、适应能力以及对影响力的偏好，与你的深度领域同样重要。
你将产生的影响
• 加速最重要的事项：空降到战略性、高关注度的机会中，负责明确界定的技术领域，推动关键工作负载和用例从评估走向生产和消费。
• 主导架构：设计跨数据工程、ML/AI 和实时分析的可扩展、生产级解决方案，并主导与客户高级利益相关者的白板讨论、设计评审和权衡决策。
• 赢得技术决策：在竞争激烈、必须取胜的场景中，通过定制构建的解决方案展示 Databricks 的差异化优势。
• 快速推进同时保持标准：在模糊的情况下迅速建立势头，在不偷工减料的前提下压缩时间线。
• 交接，而不是紧抓不放：将你的进展打包成向核心 SA、DSA、专家或合作伙伴的清晰过渡，使胜利在你转向下一个项目后得以持续和扩展。
• 规模化：带回模式、打法和产品反馈，让你之后的每一次客户接触都更快。
我们寻找什么样的人
我们更看重你的思维方式和你产生的影响，而不是一份具体的清单。你很可能具备以下大部分条件，如果你缺少一两个，但带来了我们没想到的东西，我们仍然希望听到你的消息！
• 在解决方案架构、数据工程、技术售前或高级实操技术岗位方面有数年经验（通常约 6 年以上），或有证明同等深度的业绩记录。
• 具备 Python 和 SQL 的实操编码能力，能够现场构建、调试和演示可运行的解决方案。
• 在分布式数据系统和生产云部署（AWS、Azure 或 GCP）、可扩展管道、流处理和湖仓模式方面有深度，并具备运行它们所需的基础设施、安全和治理能力。
• 精通 Databricks 平台，或有证明能快速上手新技术的能力。在实时/流处理、ML/AI、数据治理或迁移等领域有强大的“尖峰”能力，能帮助你快速增加价值。
• 有主导与高级技术利益相关者的架构讨论、设计评审、权衡分析、清晰建议，并将复杂架构转化为工程师和高管都能理解的业务价值的经验。
• 这个团队赖以运转的气质：能适应模糊性和限定时长的客户接触，具备强大的优先级排序能力，并真正偏好多样性和高影响力工作。
加分项
鉴于我们在现场工程组织中的角色，我们始终希望通过你的专业领域来扩展团队所能提供的深度。以下任何一项都会是团队的宝贵补充！
• Databricks 认证（数据工程师、ML 或平台）。
• 熟悉竞争平台（Snowflake、AWS 原生服务、Azure Synapse）以及如何针对它们进行定位。
• 有数据/AI 公司或云服务商的背景。
• 在某个行业垂直领域有深度（金融服务、医疗健康、零售、媒体等）。
注意：这将是一份办公室办公的合同（阿姆斯特丹），采用混合办公安排。录用合同将设为初始 12 个月固定期限，并有意在试用期成功完成后延长。
#LI-hybrid 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——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，请在 LinkedIn、X、YouTube 和 Instagram 上关注 Databricks。
福利待遇
在 Databricks，我们努力提供全面的福利和待遇，以满足所有员工的需求。如需了解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接触出口管制技术或源代码，雇主可自行决定是否为此类职位申请美国政府许可证，且雇主可能仅以此为由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
Req ID: FEQ327R409
The team
The Fungible team is the “rapid-response squad” within the Field Engineering organisation that engages with customers on the most strategic, highest-potential opportunities across Benelux and the Nordics to accelerate critical use cases, land technical wins, and drive successful Databricks adoption. If you enjoy working on novel use cases across a variety of industries on highly visible engagements, this is the right home for you!
岗位职责
As a Fungible Solutions Architect, you lead the technical strategy on time-boxed, targeted engagements - typically one to five months - aimed at accelerating a specific set of critical customer workloads from evaluation to a production-grade technical win. You own the architecture conversation, drive platform adoption, and act as a trusted advisor to customer architects and engineering leaders, then transition the momentum you've built to the core account team.
You bring technical depth and the judgment to apply it fast, in situations that require strong ownership and are highly visible . Where a specialisation helps you contribute quickly, great — but on this team, breadth, adaptability, and a bias for impact matter just as much as your area of depth.
The impact you will have
• Accelerate what matters most: parachute into strategic, high-profile opportunities and own a clearly defined technical area, moving critical workloads and use cases from evaluation toward production and consumption.
• Lead the architecture: design scalable, production-grade solutions across data engineering, ML/AI, and real-time analytics, and lead the whiteboarding, design reviews, and trade-off decisions with senior customer stakeholders.
• Win the technical decision : demonstrate Databricks' differentiation through custom-built solutions in competitive, must-win scenarios.
• Move fast while maintaining the bar: establish momentum quickly in ambiguous situations and compress timelines without cutting corners.
• Hand off, don't hold on : package your progress into a clean transition to core SAs, DSAs, specialists, or partners so wins are sustained and expanded after you move to the next engagement.
• Scale : bring back patterns, plays, and product feedback that make every engagement after yours faster.
What we look for
We care more about how you think and the impact you've had than about a specific checklist. You'll likely bring most of the following, and if you're missing one or two but bring something we haven't thought of, we still want to hear from you!
• Several years of experience (typically ~6+) in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role, or a track record that demonstrates equivalent depth.
• Hands-on coding ability in Python and SQL, with the ability to build, debug, and demonstrate working solutions live.
• Depth in distributed data systems and production cloud deployments (AWS, Azure, or GCP), scalable pipelines, streaming, and lakehouse patterns, plus the infrastructure, security, and governance to run them.
• Proficiency on the Databricks Platform, or a demonstrated ability to ramp on new technology quickly. A strong "spike" in an area such as real-time/streaming, ML/AI, data governance, or migrations helps you add value fast.
• Experience leading architecture discussions with senior technical stakeholders, design reviews, trade-off analysis, clear recommendations, and translating complex architecture into business value for both engineers and executives.
• The temperament this team runs on: comfort with ambiguity and time-boxed engagements, strong prioritisation, and a genuine preference for variety and high-impact work.
Nice to have
Given our role in the Field Engineering organisation, we are always looking to expand the depth our team can offer with your areas of specialisation. Any of the following would be a valuable addition to the team!
• Databricks certifications (Data Engineer, ML, or Platform).
• Familiarity with competitive platforms (Snowflake, AWS native services, Azure Synapse) and how to position against them.
• Background in a data/AI company or cloud provider.
• Depth in an industry vertical (Financial Services, Healthcare, Retail, Media, and others).
Note: This will be an office-based contract (Amsterdam), with a hybrid schedule. The offer contract will be set for an initial 12-month fixed term, with the intention to extend upon successful completion of the probation period.
#LI-hybrid 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.