解决方案架构师，CustomerLake
查看雇主原标题
Solutions Architect, CustomerLakeDatabricks · Berlin, 德国
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。
- 新的雇主官方职位
- 稀有职位匹配
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
机器翻译营销团队正陷入两难：一边是碎片化的客户数据，另一边是将这些数据复制到专有孤岛中的营销技术栈，而客户却期望获得实时、个性化的体验。Customer Lake 是原生构建于 Databricks 之上的智能体式客户数据平台（CDP），它改变了这一局面。它将第一方和第三方数据统一为受治理的 Customer 360 档案，解析身份，并使用智能体跨渠道构建受众、推荐最佳下一步行动并激活营销活动，而无需将数据复制出 Lakehouse，也不会增加供应商锁定。
解决方案架构师（Customer Lake）团队隶属于一个专注的全球市场推广组织，该组织致力于推动 Customer Lake 的采用和收入增长。Customer Lake 是 Databricks 原生构建于数据智能平台之上的智能体式客户数据平台（CDP）。Customer Lake SA 将与各业务部门和垂直行业的客户互动，与营销和数据相关方建立关系，深入定位 Customer Lake，并交付演示、演示和 POC，以推动明智的采用决策。他们将了解护栏以及成功落地和扩展 Customer Lake 所需的步骤，帮助客户实现其客户互动和增长目标。
你将产生的影响
• 提供技术领导力，指导战略客户成功实施客户数据和营销项目，涵盖从架构设计到数据工程，再到身份解析、受众激活和智能体部署
• 与 GTM 领导层和客户团队协作，在你的区域内设计并执行高影响力的互动策略，推动 Customer Lake 从初始 Customer 360 构建到全面 CDP 增强或替换的采用。
• 作为值得信赖的顾问，担任专家解决方案架构师，与 CMO、营销技术（MarTech）负责人、数据工程领导者以及营销和分析团队建立技术可信度，以推动产品采用和愿景。
• 通过研讨会、POC 执行和开发面向客户的资料，大规模赋能客户，提升技术知识并展示嵌入式、智能体式 CDP 架构的价值。
• 通过将来自一线的、数据驱动的洞察转化为面向产品和工程团队的战略建议，影响产品路线图。
• 作为该产品线中现场的三级升级点，处理最复杂的技术挑战，确保客户在任务关键、面向客户的数据环境中取得成功。
• 建立并完善销售资格认定和 POC 受理流程，确保项目范围明确，从而最大化客户成功并减少研发摩擦。
能力与职责
• 5 年以上客户数据平台（CDP）、营销技术（MarTech）或客户数据工程经验，并拥有设计和交付面向客户的客户数据与激活解决方案的成功记录（其中 3 年以上为面向客户的售前或咨询角色）。
• 具备为营销和客户互动设计和实施数据与 AI 应用的经验，包括身份解析、细分、个性化和最佳下一步行动，以及用于受众构建和营销活动激活的智能体式 AI 工作流。
• 深入了解 CDP 和营销技术/广告技术平台，包括可组合 CDP 架构（Salesforce Data Cloud、Adobe、Segment、Treasure Data、Braze 或类似平台），包括实施、身份解析、受众激活和迁移策略。
• 对客户数据格局有深入理解：第一方数据（Web、App、CRM、POS）、第三方和增强数据、身份图谱、同意和隐私信号，以及营销技术/广告技术目的地（广告平台、电子邮件/短信、CRM 和分析工具）。
• 具备将客户数据作为受治理数据产品进行运营的经验，包括使用 SQL 或自然语言（Genie）定义受众和细分、反向 ETL 和激活管道，以及在 Unity Catalog 中进行指标、身份和同意治理。
• 具备与全球系统集成商（GSI）和第三方咨询组织合作，推动营销和客户数据计划中客户成果的经验。
• 具备在主要公有云环境（AWS、Azure 或 GCP）中构建解决方案的实践经验，并了解云原生数据摄取、激活和治理。
• 计算机科学、数据科学、应用数学、工程或类似技术领域的本科学位（或更高学历）。
• 熟练掌握 Spark / Pyspark
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，在全球设有 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。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。
查看雇主原文
职位描述
Marketing teams are stuck between fragmented customer data and martech stacks that copy that data into proprietary silos while customers expect real-time, personalized experiences. Customer Lake, the agentic Customer Data Platform (CDP) built natively into Databricks, changes that equation. It unifies first- and third-party data into governed Customer 360 profiles, resolves identities, and uses agents to build audiences, recommend next-best actions, and activate campaigns across channels, all without copying data out of the Lakehouse or adding vendor lock-in.
The Solutions Architect (Customer Lake) team is part of a dedicated, global go-to-market organization focused on driving adoption and revenue growth for Customer Lake, Databricks’ agentic Customer Data Platform (CDP) built natively into the Data Intelligence Platform. The Customer Lake SA will engage clients across business units and verticals, build relationships with marketing and data stakeholders, position Customer Lake in depth, and deliver presentations, demos, and POCs that drive informed adoption decisions. They will understand the guardrails and the steps needed to successfully land and expand Customer Lake as clients deliver on their customer engagement and growth objectives.
The impact you will have
• Provide technical leadership to guide strategic customers to successful implementations on customer data and marketing projects, ranging from architectural design to data engineering to identity resolution, audience activation, and agent deployment
• Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory, driving Customer Lake adoption from initial Customer 360 build-out through full CDP augmentation or replacement.
• As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CMOs, heads of marketing technology (MarTech), data engineering leaders, and marketing and analytics teams to drive product adoption and vision.
• Enable clients at scale through workshops, POC execution, and developing customer-facing collateral that increases technical knowledge and demonstrates the value of an embedded, agentic CDP architecture.
• Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
• Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical, customer-facing data environments.
• Establish and refine the sales qualification and POC intake process, ensuring well-scoped engagements that maximize customer success and minimize friction for R&D.
Competencies & Responsibilities
• 5+ years of customer data platform (CDP), marketing technology (MarTech), or customer data engineering expertise, with a proven track record of designing and delivering client-facing customer data and activation solutions (of which 3+ years are in a customer-facing, pre-sales or consulting role).
• Experience with design and implementation of data and AI applications for marketing and customer engagement, including identity resolution, segmentation, personalization and next-best-action, and agentic AI workflows for audience building and campaign activation.
• Deep familiarity with CDP and martech/adtech platforms, including composable-CDP architectures (Salesforce Data Cloud, Adobe, Segment, Treasure Data, Braze, or similar), including implementation, identity resolution, audience activation, and migration strategies.
• Strong understanding of the customer data landscape: first-party data (web, app, CRM, POS), third-party and enrichment data, identity graphs, consent and privacy signals, and martech/adtech destinations (ad platforms, email/SMS, CRM, and analytics tools).
• Experience operationalizing customer data as governed data products, including audience and segment definition in SQL or natural language (Genie), reverse-ETL and activation pipelines, and metric, identity, and consent governance in Unity Catalog.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes in marketing and customer data initiatives.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud-native data ingestion, activation, and governance.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Data Science, Applied Mathematics, Engineering or similar.
• Proficiency in Spark / Pyspark
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.