解决方案架构师 - 消费品与制造业
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Solutions Architect - CPG and ManufacturingDatabricks · Zürich, 瑞士
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职位描述
机器翻译FEQ427R473
作为解决方案架构师，您将为客户的技术战略做出贡献——主导架构讨论、推动平台采用，并成为客户架构师和工程负责人的可信技术合作伙伴。您将深厚的技术专长与实践型构建者的思维相结合，将 Databricks 定位为客户数据与 AI 战略的基础。您正在发展一项技术专长（原型），并逐渐成为团队内特定领域深度知识的首选资源。
您将产生的影响：
• 主导您所负责客户的端到端技术战略——从需求发现到生产部署——通过构建差异化的 AI 和数据解决方案加速消费增长，推动竞争性胜利
• 主导复杂的架构讨论——设计涵盖数据工程、AI/ML、智能体系统和实时分析的生产级解决方案
• 作为客户架构师、工程负责人和总监的可信技术合作伙伴——帮助塑造他们在 Databricks 上的数据与 AI 之旅
• 发展一项新兴的技术专长（原型）——最好是在 AI/ML、智能体架构或相关领域——成为团队内的首选资源
• 协调跨职能资源（DSA、SSA、合作伙伴），为复杂的客户需求交付端到端 AI 和数据解决方案
• 就客户需求、AI 能力和竞争差距向产品团队提供结构化反馈
我们寻找的人才：
• 6 年以上解决方案架构、数据工程、数据科学/AI 或技术售前经验——拥有扎实的动手构建解决方案和面向客户的技术领导力业绩记录
• 在现代数据和 AI 架构方面拥有深厚专长——湖仓设计、可扩展管道、实时/流处理以及云原生平台——能够通过白板演示、设计评审和权衡分析主导与高级利益相关者的架构讨论，将数据基础与 AI/ML 成果相连接
• 对 AI/ML 概念、智能体架构和本体设计有深入理解——包括复合 AI 系统、自主智能体框架、知识图谱和语义数据模型方面的经验，以支持智能、上下文感知的应用
• 精通 Databricks 平台（或展现出快速达到精通的能力），并在某一领域（例如 AI/ML、智能体系统、实时/流处理、数据治理、迁移）发展出技术专长
• 具备公有云（AWS、Azure 或 GCP）生产部署经验，包括安全和治理方面的考量
• 有推动平台采用和消费增长的业绩记录——尤其是在 AI/ML 和数据分析工作负载方面
• 出色的沟通能力——能够将复杂的 AI 和数据架构转化为面向技术和高管受众的商业价值
• 计算机科学、工程或定量学科（或同等经验）的学士或硕士学位
加分项：
• Databricks 认证（数据工程师、ML Associate/Professional、平台）
• 具备竞争平台（Snowflake、AWS 原生服务、Azure Synapse）经验——了解您将要对标的竞争格局
• 有 AI 优先公司、数据平台供应商或云服务提供商的工作背景
• 行业领域专长，最好是消费品和制造业（金融服务、医疗健康、零售、媒体等也受重视）
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 数据 + AI 平台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，我们致力于提供满足所有员工需求的全面福利和待遇。如需了解您所在地区所提供福利的具体详情，请点击此处。
我们对多元化和包容性的承诺
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 寻求就业机会的个人，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，且雇主可能仅基于此原因而拒绝继续推进申请人的流程。
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
FEQ427R473
As a Solutions Architect, you will contribute to the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted technical partner to customer architects and engineering leads. You combine deep technical expertise with a hands-on builder mindset to position Databricks as the foundation of your customers' data and AI strategy. You are developing a technical specialization (archetype) and are becoming a go-to resource within your team for depth in a specific domain.
The Impact You Will Have:
• Own the end-to-end technical strategy for your accounts — from discovery through production deployment — driving competitive wins by building differentiated AI and data solutions that accelerate consumption growth
• Lead complex architecture discussions — designing production-grade solutions across data engineering, AI/ML, agentic systems, and real-time analytics
• Serve as a trusted technical partner to customer architects, engineering leads, and Directors — helping shape their data and AI journey on Databricks
• Develop an emerging technical specialization (archetype) — ideally in AI/ML, agentic architectures, or a related domain — becoming a go-to resource within your team
• Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver end-to-end AI and data solutions for complex customer needs
• Provide structured feedback to product teams on customer requirements, AI capabilities, and competitive gaps
What We Look For:
• 6+ years in solutions architecture, data engineering, data science/AI, or technical pre-sales — with a strong track record of hands-on solution building and customer-facing technical leadership
• Deep expertise in modern data and AI architectures — lakehouse design, scalable pipelines, real-time/streaming, and cloud-native platforms — with the ability to lead architecture discussions with senior stakeholders through whiteboarding, design reviews, and trade-off analysis that connect data foundations to AI/ML outcomes
• Strong understanding of AI/ML concepts, agentic architectures, and ontology design — including experience with compound AI systems, autonomous agent frameworks, knowledge graphs, and semantic data models that enable intelligent, context-aware applications
• Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., AI/ML, agentic systems, real-time/streaming, data governance, migrations)
• Experience with production deployments on public cloud (AWS, Azure, or GCP), including security and governance considerations
• Track record of driving platform adoption and consumption growth — particularly across AI/ML and data analytics workloads
• Excellent communication skills — able to translate complex AI and data architectures into business value for technical and executive audiences
• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)
Nice to Have:
• Databricks certifications (Data Engineer, ML Associate/Professional, Platform)
• Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) — understanding the landscape you'll position against
• Background in an AI-first company, data platform vendor, or cloud provider
• Industry domain expertise, preferably in CPG and Manufacturing (Financial Services, Healthcare, Retail, Media, etc. also valued)
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.