高级解决方案工程师 - 比荷卢地区
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Senior Solutions Engineer - Benelux GeoDatabricks · Amsterdam, 荷兰
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职位描述
机器翻译职位编号:FEQ427R70
岗位职责
作为Benelux Geo团队的高级解决方案工程师,您将主导面向高增长潜力客户的技术对接,负责需求探索、方案设计和平台演示。我们正在寻找一位才华横溢的工程师/架构师,他热衷于拓展战略合作伙伴关系,并扩大Databricks在这些客户中的影响力!
您是一位既能编码、又能设计架构并进行演示的构建者,将技术深度与面向客户的技能相结合,推动Databricks的采用。您将负责一线客户关系,并与您的客户经理合作制定技术策略,以扩大平台使用量。
您将产生的影响
• 独立主导客户工作负载的技术需求探索和方案设计,涵盖数据工程、分析、机器学习和GenAI工程
• 在Databricks平台上构建并交付有说服力的概念验证和实时演示,推动技术层面的成功
• 负责与客户工程师、数据团队和技术负责人建立一线技术关系
• 与您的客户经理合作制定账户级技术策略,以提升平台消费量
• 通过动手演示阐明Databricks的差异化优势,应对竞争格局
• 为更广泛的SA社区贡献可复用的技术资产(notebooks、解决方案加速器、参考架构)
我们寻找的人才
• 在数据工程、解决方案架构、技术售前或实操咨询岗位拥有行业经验(优先考虑至少3年以上)
• 精通Python和SQL,具备调试、优化和编写生产级代码的实证能力——现场/vibe coding是必需的面试环节
• 具备在至少一个公有云平台(AWS、Azure或GCP)上设计和实施数据解决方案的实操经验
• 具备分布式数据系统的工作知识:Apache Spark™、Delta Lake或同等技术(Hadoop、Kafka、Flink)
• 具备主导技术客户对话的经验——需求探索、白板讨论、架构评审
• 熟悉以下一项或多项:数据工程(ETL/ELT、medallion架构、流处理)、数据科学/ML(模型训练、MLOps)或SQL分析
• 出色的演示和demo技能——您将在面试期间构建并展示一个实时解决方案
• 计算机科学、工程、信息管理、数据科学或定量学科的学士或硕士学位(或同等经验)
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,并有意在试用期顺利完成后延长。
#LI-hybrid 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,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。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,我们致力于营造多元包容的文化,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。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,且雇主可能仅基于此原因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: FEQ427R70
岗位职责
As a Senior Solutions Engineer in the Benelux Geo team, you will lead technical engagements for high-growth potential customers, owning discovery, solution design, and platform demonstrations. We are looking for a talented engineer/architect who is excited to expand strategic partnerships and grow Databricks footprint with these customers!
You are a builder who can code, architect, and present, combining technical depth with customer-facing skills to drive Databricks adoption. You will own frontline customer relationships and work with your Account Executive to develop technical strategies that expand platform usage.
The Impact You Will Have
• Independently lead technical discovery and solution design for customer workloads spanning Data Engineering, Analytics, Machine Learning, and GenAI Engineering
• Build and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical wins
• Own frontline technical relationships with customer engineers, data teams, and technical leads
• Develop account-level technical strategies in partnership with your Account Executive to grow platform consumption
• Navigate competitive landscapes by articulating Databricks differentiation through hands-on demonstrations
• Contribute reusable technical assets (notebooks, solution accelerators, reference architectures) to the broader SA community
What We Look For
• Industry experience in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting role (preference for 3+ years minimum)
• Proficient in Python and SQL with demonstrated ability to debug, optimise, and write production-quality code — live/vibe coding is a required interview stage
• Hands-on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP)
• Working knowledge of distributed data systems: Apache Spark™, Delta Lake, or equivalent (Hadoop, Kafka, Flink)
• Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews
• Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics
• Strong presentation and demo skills — you will build and present a live solution during the interview
• Bachelor's or Master's degree in Computer Science, Engineering, Information Management, Data Science or a quantitative discipline (or equivalent experience)
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.