解决方案架构师，EMEA初创企业 — 法国
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Solutions Architect, EMEA Startups — FranceDatabricks · Paris, 法国
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职位描述
机器翻译FEQ427R352
解决方案架构师，EMEA Startups — 法国
该职位的工作地点应在巴黎地区（即适合混合办公通勤距离内）。 Databricks 是一家数据与 AI 公司。我们的解决方案架构师帮助客户将复杂的数据和 AI 挑战转化为安全、可扩展的解决方案，从而带来可衡量的业务价值。
EMEA Startups 团队与快速增长的数字化原生公司合作，帮助它们从早期技术探索走向生产采用。在此职位中，您将与创始人、CTO、工程/数据副总裁、架构师和技术负责人互动，识别高影响力用例，设计现代数据与 AI 架构，并帮助客户将 Databricks 作为其产品和 技术路线图的战略组成部分。
您将负责法国 Startups 细分市场中的新客户账户和 SMB，同时有选择地支持现有账户中的扩展机会。您将在广泛且动态的账户组合中开展工作，将强大的技术判断力与面向业务的探索和基于信号的优先级排序相结合。
您将与客户经理以及更广泛的现场工程组织紧密合作，以创造技术成果、加速实现价值并建立持久的客户关系。
您将产生的影响：
• 与 Startups 客户经理合作，制定并执行技术账户策略，以获取新客户并提升现有账户上的 Databricks 消费
• 在顾问式探索中与创始人、CTO、工程/数据副总裁、架构师和技术从业者互动。将业务优先级转化为清晰的数据、分析、AI 和平台用例。
• 主导从探索到评估的技术销售流程：定义成功标准、制定解决方案架构、进行演示、指导规模估算、运行或协调概念验证，并建立清晰的采用路径。
• 在数据工程、数据仓库、分析与 BI、机器学习、GenAI、Apps、Lakebase 及相关云原生工作负载方面提供技术领导力。
• 通过将客户成果与 Databricks 平台相连接来建立技术成果，并帮助利益相关者做出自信的架构和技术决策。
• 利用账户背景和客户信号——包括消费变化、用户活动、功能采用、架构、安全和成本考量——来优先安排高价值技术互动并创建相关的观点。
• 通过研讨会、办公时间、聚会、活动、合作伙伴活动和其他一对多互动，为创业公司和技术生态系统做出贡献。
• 与销售、产品、工程、交付和服务团队、支持以及技术合作伙伴协作，以代表客户需求、消除技术障碍并加速采用。
我们寻找的人才：
• 5 年以上面向客户的前置销售、技术架构、咨询或同等职位经验。
• 具备与软件工程师、数据团队、架构师和高级技术决策者一起主导技术探索和架构讨论的良好记录。
• 具备设计和架构分布式数据系统及云原生解决方案的经验。
• 至少具备 Python、SQL、Scala 或 Java 中一种语言的动手编程经验。
• 具备使用一个或多个公有云提供商（如 AWS、Azure 或 GCP）构建解决方案的经验。
• 在至少一个相关领域具备深度，例如数据工程、数据仓库、分析与 BI、数据科学、机器学习、GenAI、流处理、OLTP 或数据治理。
• 具备将模糊的客户问题从用例探索推进到解决方案设计、评估和清晰技术成果的经验。
• 强大的商务沟通能力，包括解释技术权衡、将架构与业务价值相连接，并通过演示、白板讨论、书面观点和平台演示进行沟通的能力。
• 能够在多个账户中快速且自主地开展工作，优先安排精力，并与客户经理及更广泛的账户团队有效协作。
• 客户优先的思维方式、强烈的好奇心，以及在快速变化的技术环境中快速学习的能力。
任职要求
• 具备与高增长科技公司、产品工程团队、SaaS 企业、创始人或风险投资支持的组织合作的经验。
• 具备 Apache Spark、Delta Lake、MLflow 或类似现代数据与 AI 技术的经验。
• 熟悉创业公司、VC、加速器、ISV 或云合作伙伴生态系统。
• Databricks 和云认证。
地点与出差
• 该职位位于巴黎地区，需在适合混合办公安排的通勤距离内。
• 需要具备法语和英语的商务熟练度。具备意大利语和/或西班牙语流利能力是强烈加分项。
• 愿意根据需要出差最多 20-30%，主要用于客户会议、本地和区域活动以及团队活动。
关于 Databricks
Databricks 是一家数据与 AI 公司。全球超过 20,000 家组织依赖 Databricks Data Intelligence Platform 来构建和扩展数据、分析和 AI 应用。
在 Databricks，我们致力于营造多元和包容的工作场所，让每个人都能脱颖而出。我们根据适用法律考虑合格申请人，不考虑受保护特征。 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——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 多个办公室，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。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 寻求就业的个人将不会因年龄、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、退伍军人身份和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
FEQ427R352
Solutions Architect, EMEA Startups — France
The location for the role should be in the Paris region (i.e. within a commutable distance for a hybrid schedule). Databricks is a Data and AI company. Our Solutions Architects help customers turn complex data and AI challenges into secure, scalable solutions that deliver measurable business value.
The EMEA Startups team works with fast-growing, digital-native companies as they move from early technical exploration to production adoption. In this role, you will engage founders, CTOs, VP Engineering/Data, architects and technical leaders to identify high-impact use cases, shape modern data and AI architectures, and help customers make Databricks a strategic part of their product and technology roadmap.
You will work on new-logo accounts in the France Startups segment and SMBs, while selectively supporting expansion opportunities in existing accounts. You will operate across a broad and dynamic account set, combining strong technical judgment with business-oriented discovery and signal-based prioritisation.
You will partner closely with Account Executives and the wider Field Engineering organisation to create technical wins, accelerate time to value and build lasting customer relationships.
The impact you will have:
• Partner with Startups Account Executives to build and execute technical account strategy for acquiring new logos and growing Databricks consumption on existing accounts
• Engage founders, CTOs, VPs of Engineering/Data, architects and technical practitioners in consultative discovery. Translate business priorities into clear data, analytics, AI and platform use cases.
• Lead the technical sales motion from discovery through evaluation: define success criteria, develop solution architectures, deliver demonstrations, guide sizing, run or coordinate proofs of concept, and establish a clear path to adoption.
• Provide technical leadership across data engineering, data warehousing, analytics and BI, machine learning, GenAI, Apps, Lakebase and related cloud-native workloads.
• Establish technical wins by connecting customer outcomes to the Databricks platform and helping stakeholders make confident architecture and technology decisions.
• Use account context and customer signals—including consumption movement, user activity, feature adoption, architecture, security and cost considerations—to prioritize high-value technical engagements and create relevant points of view.
• Contribute to the startup and technical ecosystem through workshops, office hours, meetups, events, partner activity and other 1:many engagements.
• Collaborate with Sales, Product, Engineering, delivery and services teams, Support and technology partners to represent customer needs, remove technical blockers and accelerate adoption.
What we look for:
• 5+ years of experience in a customer-facing pre-sales, technical architecture, consulting or equivalent role.
• A track record of leading technical discovery and architecture discussions with software engineers, data teams, architects and senior technical decision-makers.
• Experience designing and architecting distributed data systems and cloud-native solutions.
• Hands-on programming experience in at least one of Python, SQL, Scala, or Java.
• Experience building solutions with one or more public-cloud providers, such as AWS, Azure or GCP.
• Depth in at least one relevant domain, such as data engineering, data warehousing, analytics and BI, data science, machine learning, GenAI, streaming, OLTP or data governance.
• Experience taking ambiguous customer problems from use-case discovery through solution design, evaluation and a clear technical outcome.
• Strong business communication skills, including the ability to explain technical trade-offs, connect architecture to business value, and communicate through presentations, whiteboarding, written points of view and platform demonstrations.
• Ability to operate with pace and autonomy across multiple accounts, prioritise effort and collaborate effectively with Account Executives and the wider account team.
• A customer-first mindset, strong curiosity and the ability to learn quickly in a fast-moving technology environment.
任职要求
• Experience working with high-growth technology companies, product engineering teams, SaaS businesses, founders or venture-backed organisations.
• Experience with Apache Spark, Delta Lake, MLflow or comparable modern data and AI technologies.
• Familiarity with startup, VC, accelerator, ISV or cloud-partner ecosystems.
• Databricks and cloud certifications.
Location and travel
• This role is based in the Paris region, within a commutable distance for a hybrid working schedule.
• Business proficiency in both French and English is required. Fluency in Italian and/or Spanish is a strong plus.
• Willingness to travel up to 20-30% as required, primarily for customer meetings, local and regional events, and team activities.
About Databricks
Databricks is a Data and AI company. More than 20,000 organisations worldwide rely on the Databricks Data Intelligence Platform to build and scale data, analytics and AI applications.
At Databricks, we are committed to fostering a diverse and inclusive workplace where everyone can excel. We consider qualified applicants without regard to protected characteristics in accordance with applicable law. 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.