交付解决方案架构师
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Delivery Solutions ArchitectDatabricks · Finland; Remote - Denmark; Stockholm, 瑞典
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职位描述
机器翻译CSQ227R121
工作地点 - 瑞典、丹麦、芬兰(混合/远程)
在 Databricks,我们的使命是赋能客户,借助 Databricks Data Intelligence Platform 解决世界上最棘手的数据问题。作为交付解决方案架构师(DSA),您是关键客户信赖的技术顾问,提供专业指导,将数据、分析和 AI 挑战转化为高影响力的业务价值。您帮助设计、实施和扩展数据与 AI 解决方案,重点关注架构、卓越运营和客户赋能。在内部,您将与我们的销售和现场工程团队协作,加速 Databricks Platform 在您的客户中的采用和增长。
交付解决方案架构师(DSA)是嵌入客户组织内部的可信赖技术顾问,提供专业指导,将数据和 AI 挑战转化为高影响力的业务价值。他们帮助您设计、实施和扩展数据与 AI 解决方案,重点关注架构、卓越运营和团队赋能。DSA 专注于:
• 设计安全、可扩展的架构
• 协调人员、流程和技术
• 建立可信赖的顾问关系
• 利用更广泛的 Databricks 专家生态系统
这是一个兼具技术和商业性质的混合型职位。在技术方面,期望您成为售后技术负责人和可信赖顾问,针对客户最优先的使用场景,覆盖所有 Databricks 产品。这要求您运用技术技能和信誉,与客户组织中的技术/技术领导层利益相关者进行互动和沟通,进行架构审查,协助性能和成本优化,展示新能力,清除障碍等。同时,从商业角度而言,您将通过领导客户利益相关者、建立高管关系、协调 Databricks 内部其他专注/专业化团队,以及创建和推动入门计划,来推动您所负责客户和使用场景的增长。
虽然这不是一个亲自动手编码的职位,但这是一个高度技术性的岗位,其中数据架构、数据工程、数据仓库或数据科学等领域的架构技能至关重要。
您将直接向现场工程组织内的 DSA 经理汇报。
您将产生的影响:
• 作为 Databricks 架构师,与客户技术团队合作处理使用场景/数据产品,从开发到上线,解决任何技术挑战和障碍,并提供指导、最佳实践和赋能
• 为我们最具战略意义的客户中的大多数 Databricks 使用场景,主导售后技术赢单后的技术客户策略和执行计划
• 作为账户内已达成一致的使用场景(通常是最庞大、最复杂组织内的多个使用场景)的生产/上线状态相关任何问题的内部联系人
• 利用共享服务、用户教育、入门/技术服务和支持资源,同时升级到专家级技术团队,以处理超出您活动范围或专业知识的任务
• 创建并执行关于如何将关键使用场景加速投入生产的观点,与专业服务(PS)资源协调交付 PS Engagement 提案
• 协调 Databricks 产品和工程团队,以获取新产品创新、私人预览和升级需求,并在适用时向客户展示,以支持其持续发展
• 内部和外部更新 - 向您的现场工程领导层汇报使用情况和客户健康状况、风险和障碍、产品采用和使用场景进展的 KPI 报告
我们寻找的人才:
• 具备 PySpark、Python 和 Databricks(或类似数据平台)的编程经验
• 理解并具备解决方案架构相关分布式数据和分析系统的实践经验
• 5 年以上经验,期间您负责过数据、分析或 AI 项目的交付,并能够与客户就技术辩论和设计选择做出贡献
• 具备面向客户的售前、技术架构、客户成功或咨询角色的经验
• 理解如何将业务价值和成果归因于特定项目交付成果
• 技术项目协调,包括账户和利益相关者管理
• 具备与高级客户技术利益相关者一起解决复杂且重要升级问题的经验
• 有超额完成配额、目标或类似客观指标的过往记录
• 计算机科学、信息系统、工程学士学位,或通过工作经验获得的同等经验
• 能够出差高达 30%
关于 Databricks
Databricks 是一家 Data and 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化和包容性的文化,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、社会经济地位、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,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
CSQ227R121
Locations - Sweden, Denmark, Finland (Hybrid/Remote)
At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems with the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you are a trusted technical advisor to key customers, providing expert guidance that translates data, analytics and AI challenges into high-impact business value. You help design, implement, and scale data and AI solutions, focusing on architecture, operational excellence, and customer enablement. Internally, you will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers.
Delivery Solutions Architects (DSAs) are trusted technical advisors embedded within the customer organization, providing expert guidance that translates data and AI challenges into high-impact business value. They help you design, implement, and scale data and AI solutions, focusing on architecture, operational excellence, and team enablement. DSAs focus on:
• Designing secure, scalable architecture
• Aligning people, processes, and technology
• Establishing trusted advisor relationships
• Leveraging the broader ecosystem of Databricks experts
This is a hybrid technical and commercial role. Technically, the expectations are that you become the post-sales technical lead and trusted advisor across all Databricks products for the customer’s top priority use cases. This requires you to use your technical skills and credibility to engage and communicate with technical/technical leadership stakeholders in our customer organizations, do architecture reviews, help with performance and cost optimizations, demonstrate new capabilities, remove blockers, etc. In parallel, it is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving onboarding plans.
While not a hands-on-keyboard role, this is a highly technical position where architectural skills in fields such as Data Architecture, Data Engineering, Data Warehousing or Data Science are essential.
You will report directly to a DSA Manager within the Field Engineering organization.
The impact you will have:
• Be the Databricks Architect working with customer technical teams working on use cases/data products, from development to go-live, addressing any technical challenges and blockers and providing guidance, best practices and enablement
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the internal point of contact for any questions related to production/go live status of agreed upon use cases within an account, often for multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert-level technical teams to address the tasks that are beyond your scope of activities or expertise
• Create and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs, presenting them to the customers when applicable for their ongoing developments
• internal and external updates - KPI reporting on the status of usage and customer health, risks and blockers, product adoption and use case progression - to your Field Engineering leadership
What we look for:
• Programming experience in PySpark, Python and Databricks (or similar data platform)
• Understanding and hands-on experience of solution architecture-related distributed data and analytics systems
• 5+ years of experience where you have been accountable for delivery of projects in Data, Analytics or AI and where you can contribute to technical debate and design choices with customers
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting roles
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program coordination including account and stakeholder management
• Experience resolving complex and important escalation with senior customer technical stakeholders
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30%
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.