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解决方案架构师

机器翻译
查看雇主原标题Solutions Architect

Databricks · Stockholm, 瑞典

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 46/100,仅依据与该职位一起存储的证据计算。

46/100 发现指数
  • 新的雇主官方职位

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+5
  • 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

职位编号 FEQ427R66

解决方案架构师 – 数据与 AI(售前)

在 Databricks,我们的解决方案架构师将客户互动与实操技术专长相结合。 您将与客户紧密合作,了解他们的挑战,并展示 Databricks 平台如何解决这些问题——不仅是概念上,更是实践中。

该职位隶属于我们的销售组织,非常适合喜欢在业务、数据和 AI 交叉领域工作,并热衷于将想法转化为可运行解决方案的人。

岗位职责

• 与客户经理合作,推动技术销售周期和客户成果

• 主导客户研讨会、需求探索会议以及面向多个利益相关方的技术深度探讨

• 使用真实数据构建并交付概念验证、演示和解决方案原型

• 将业务需求转化为实用、可扩展的数据和 AI 解决方案

• 作为值得信赖的顾问,同时能够亲自动手端到端验证解决方案

• 与客户一起攻克技术难题,在问题出现时反复迭代并加以解决

• 贡献可复用的资产、模式和最佳实践,加速客户采用

任职要求

面向客户的心态

• 能够向技术和非技术受众传达复杂主题

• 善于主导将业务目标与技术决策联系起来的讨论

实操技术基础

• 具备 Python(或类似语言)经验,熟悉分布式数据处理与计算,并处理过大规模数据集

• 了解数据管道和现代数据架构

• 能够实际处理数据(例如构建 PoC、探索数据集、故障排查)

• 能够自如地推理代码、解释其工作原理,并在运行不符合预期时进行调整

数据与 AI 理解

• 熟悉分析、数据科学或机器学习工作流

• 理解数据平台如何支持 AI 用例(例如特征管道、模型训练、推理)

• 对现代 AI 能力感兴趣,并理解它们在真实数据系统上如何运作

架构与平台理解

• 熟悉云平台和数据技术

• 能够设计兼顾可扩展性、性能、可靠性和数据量的解决方案

• 了解架构决策中的权衡,并能够根据约束条件调整设计

如何在该职位上取得成功

• 您能够自如地在业务对话与技术执行之间切换

• 您不只是描述解决方案——您能够实际构建、验证并迭代它们

• 您对技术挑战主动担当,推动问题向前发展,即使事情未按预期进行

• 您在需求探索中运用结构化思维,并能够将需求与可扩展的技术解决方案联系起来

• 您理解 AI 解决方案依赖于坚实的数据基础

• 您充满好奇心,并不断深化自己的技术专长

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,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待遇,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,我们致力于培育多元包容的文化,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。申请 Databricks 职位的人士,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接触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,且雇主可能仅因此原因而拒绝继续推进某位申请人。

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

REQ# FEQ427R66

Solutions Architect – Data & AI (Presales)

At Databricks, our Solutions Architects combine customer engagement with hands-on technical expertise. You will work closely with customers to understand their challenges and demonstrate how the Databricks platform can solve them – not just conceptually, but in practice.

This role sits within our sales organization and is ideal for someone who enjoys working at the intersection of business, data, and AI — and who is motivated by turning ideas into working solutions.

岗位职责

• Partner with Account Executives to drive technical sales cycles and customer outcomes

• Lead customer workshops, discovery sessions, and technical deep-dives across multiple stakeholders

• Build and deliver proof-of-concepts, demos, and solution prototypes using real data

• Translate business requirements into practical, scalable data and AI solutions

• Act as a trusted advisor, while also being able to go hands-on to validate solutions end-to-end

• Work through technical challenges with customers, iterating and resolving issues as they arise

• Contribute reusable assets, patterns, and best practices that accelerate adoption across customers

任职要求

Customer-facing mindset

• Ability to communicate complex topics to both technical and non-technical audiences

• Comfortable leading discussions that connect business goals to technical decisions

Hands-on technical foundation

• Experience with Python (or similar) and familiarity with distributed data processing and compute and working with large-scale datasets

• Understanding of data pipelines and modern data architectures

• Ability to work practically with data (e.g. building PoCs, exploring datasets, troubleshooting)

• Comfortable reasoning through code, explaining how it works, and adapting it when things don’t behave as expected

Data & AI understanding

• Familiarity with analytics, data science, or machine learning workflows

• Understanding of how data platforms support AI use cases (e.g. feature pipelines, model training, inference)

• Interest in modern AI capabilities, combined with an understanding of how they operate on real data systems

Architecture & platform understanding

• Familiarity with cloud platforms and data technologies

• Ability to design solutions that consider scalability, performance, reliability, and data volumes

• Awareness of trade-offs in architecture decisions and ability to adapt designs based on constraints

What makes you successful in this role

• You are comfortable switching between business dialogue and technical execution

• You don’t just describe solutions — you can build, validate, and iterate on them in practice

• You take ownership of technical challenges and push problems forward, even when things are not working as expected

• You apply structured thinking in discovery and can connect requirements to scalable technical solutions

• You understand that AI solutions depend on solid data foundations

• You are curious and continuously deepen your technical expertise

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.

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