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解决方案架构师(售前)- 关西地区

机器翻译
查看雇主原标题Solutions Architect (Pre-sales) - Kansai Region

Databricks · 日本

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 42/100,仅依据与该职位一起存储的证据计算。

42/100 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+1
  • 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:FEQ227R81 工作地点:日本大阪

作为关西地区的售前解决方案架构师(分析、AI、大数据、公有云),您的使命是为 Databricks 日本在关西地区(大阪/京都)的部分重点客户推动成功的技术评估和解决方案设计。您对数据和 AI 充满热情,喜欢亲自动手实践技术,并乐于向技术和非技术利益相关者传达其价值。您将与客户经理紧密合作,主导技术探索、架构设计和概念验证阶段,并在客户的数据和 AI 战略方面担任值得信赖的顾问。您将通过指导数据和 AI 团队在其企业生态系统中设计、构建和运营解决方案,帮助客户在 Databricks Lakehouse Platform 上实现切实的、数据驱动的成果。您还将作为关键的技术声音反馈给我们的产品和现场团队,为关西市场的客户需求发声。您将向现场工程经理汇报。

您将产生的影响:

• 您将成为架构和设计方面的大数据分析专家

• 带领您的潜在客户评估和采用 Databricks

• 通过编写参考架构、操作指南和演示应用程序来支持您的客户

• 将 Databricks 与第三方应用程序集成以支持客户架构

• 通过主持研讨会、讲座和聚会与技术社区互动

• 与您的客户经理一起,在您负责的区域与客户建立成功的合作关系,提供技术和业务价值

我们寻找的人才:

• 拥有在各行业市场与外部客户合作的售前或售后经验

• 了解面向客户的售前或咨询角色,并在数据工程或数据科学方面具有核心优势者优先

任职要求

• 具备在公有云(AWS、Azure 或 GCP)中设计和实施架构的经验

• 具备大数据技术经验,包括 Apache Spark™、AI、数据科学、数据工程、Hadoop、Cassandra 等。

• 具备使用 Python 或 Scala 实现 Apache Spark™ 的流利编码经验,同时具备 Java 和 R 经验者更佳

• 具备流利的日语书面和口头表达能力

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,我们致力于营造多元且包容的文化,让每个人都能施展才华。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,且雇主可能仅基于此原因而拒绝继续推进某位申请人的申请。

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 ID: FEQ227R81 Location : Osaka, Japan

As a Pre‑sales Solutions Architect (Analytics, AI, Big Data, Public Cloud) – Kansai Region, your mission will be to drive successful technical evaluations and solution designs for some of our focus customers in the Kansai region (Osaka/Kyoto) for Databricks Japan. You are passionate about data and AI, love getting hands‑on with technology, and enjoy communicating its value to both technical and non‑technical stakeholders. Partnering closely with Account Executives, you will lead the technical discovery, architecture design, and proof‑of‑concept phases, and act as a trusted advisor to our customers on their data and AI strategy. You will help customers realize tangible, data‑driven outcomes on the Databricks Lakehouse Platform by guiding data and AI teams to design, build, and operationalize solutions within their enterprise ecosystem. You will also be a key technical voice back into our product and field teams, championing customer needs from the Kansai market. You will report to the Manager of Field Engineering.

The impact you will have:

• You will be a Big Data Analytics expert on aspects of architecture and design

• Lead your prospects through evaluating and adopting Databricks

• Support your customers by authoring reference architectures, how-tos, and demo applications

• Integrate Databricks with 3rd-party applications to support customer architectures

• Engage with the technical community by leading workshops, seminars and meet-ups

• Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value

What we look for:

• Pre-sales or post-sales experience working with external clients across a variety of industry markets

• Understanding of customer-facing pre-sales or consulting role with a core strength in either Data Engineering or Data Science advantageous

任职要求

• Experience designing and implementing architectures within public clouds (AWS, Azure or GCP)

• Experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others.

• Fluent coding experience in Python or Scala implementing Apache Spark™, Java and R is also desirable

• Written and verbal fluency in Japanese

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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