远程工作雷达

交付解决方案架构师

Delivery Solutions Architect

开发工程限定地区(需当地身份)
公司Databricks
薪资未公开
工作地点Finland; Remote - Denmark; Stockholm, Sweden
地域资格限定地区(需当地身份)
时区要求无特别要求
用工类型未标注
发布时间2026-03-03
数据来源Greenhouse
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注意地域限制:该职位明确限定在 Finland; Remote - Denmark; Stockholm, Sweden 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

CSQ227R121

地点 - 瑞典、丹麦、芬兰(混合办公/远程)

在 Databricks,我们致力于帮助客户利用 Databricks 数据智能平台解决世界上最复杂的数据问题。作为交付解决方案架构师(DSA),你是关键客户的可信赖技术顾问,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。你帮助设计、实施和扩展数据和 AI 解决方案,专注于架构、运营卓越和客户赋能。内部方面,你将与我们的销售和现场工程团队合作,加速 Databricks 平台在客户中的采用和增长。

交付解决方案架构师(DSA)是嵌入客户组织中的可信赖技术顾问,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。他们帮助你设计、实施和扩展数据和 AI 解决方案,专注于架构、运营卓越和团队赋能。DSA 的重点包括:

  • 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 Databricks 专家的广泛生态系统

这是一个混合型的技术和商业角色。技术上,期望你成为客户在关键优先使用场景中的售后技术负责人和可信赖顾问。这需要你运用你的技术能力和信誉,与客户组织中的技术/技术领导利益相关者进行沟通和互动,进行架构评审,协助性能和成本优化,展示新功能,解决障碍等。同时,它在商业层面意味着你将通过引导客户利益相关者、建立高管关系、协调 Databricks 内部其他专注或专业团队,并制定和推动上线计划,来推动所负责客户和使用场景的增长。

虽然这不是一个动手操作的职位,但这是一个高度技术性的职位,要求你在数据架构、数据工程、数据仓库或数据科学等领域具备架构能力。

你将直接向现场工程部门的 DSA 经理汇报工作。

你将产生的影响:

  • 成为与客户技术团队协作的 Databricks 架构师,处理使用案例/数据
查看英文原文

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.

Benefits

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.

本页面信息整理自 Greenhouse,版权归原发布方所有。职位可能随时关闭,投递请以原始页面为准。 本站只做信息聚合展示,不参与招聘流程,也不向求职者收取任何费用。

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