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解决方案架构师 - 战略高科技

机器翻译
查看雇主原标题Solutions Architect - Strategic High Tech

Databricks · Remote - California; San Francisco, California

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 54/100,仅依据与该职位一起存储的证据计算。

54/100 发现指数
  • 新的雇主官方职位
  • 远程职位

分数构成

  • 时效性 (随职位发布时间变化)+18
  • 雇主官方来源+15
  • 远程职位+8
  • 稀有职位+5
  • 公司来源健康度+8

该职位未包含:已披露薪资、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

虽然鼓励所列地点的候选人申请该职位,但其他地点的候选人也会被考虑。#LI-REMOTE

作为Digital Natives团队的战略解决方案架构师,您将与最先进的数据工程和数据科学团队合作,塑造全球最大科技公司之一的大数据格局的未来。

向现场工程经理汇报,您将与客户利益相关者、产品团队以及更广泛的面向客户的团队合作,使用我们的平台和API开发架构和解决方案。您将指导我们最大的AI原生客户之一应对竞争格局、最佳实践和实施;并在此过程中培养技术倡导者。

您将产生的影响:

• 您将与销售团队合作,提供技术领导力,帮助客户了解Databricks如何帮助解决他们的业务问题。

• 就大数据架构提供咨询,为战略项目实施概念验证,涵盖数据工程、数据科学和机器学习以及SQL分析工作流。并验证与云服务、自研工具和其他第三方应用程序的集成

• 与您的解决方案架构师同事合作,利用您的技能相互支持并支持我们的用户

• 成为Databricks启发的开源项目(Spark、Delta Lake和MLflow)的专家,在开发者社区中推广并招募贡献者。

我们寻找:

• 5年以上数据工程、数据科学、技术架构或类似售前/咨询角色经验

任职要求

• 能够熟练使用Python和SQL编程并进行调试

• 曾使用AWS、Azure或GCP等公有云提供商构建解决方案

• 在以下领域之一具有专业知识: • 数据工程技术(例如:Spark、Hadoop、Kafka)

• 数据科学和机器学习技术(例如:pandas、scikit-learn、pytorch、Tensorflow)

• 能够前往您所在地区的客户处出差

• [优先] 定量学科(计算机科学、应用数学、运筹学)学位

• 加分项:Databricks认证

注意:如果您的经验与职位描述不完全匹配,但您觉得自己适合该职位,请申请。我们希望与聪明、热情、擅长自己工作的人共事,而且很多时候,这些人有着非线性的职业道路。

福利待遇

在Databricks,我们努力提供全面的福利和津贴,以满足所有员工的需求。有关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,我们致力于培养多元化和包容性的文化,让每个人都能脱颖而出。我们非常谨慎地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、种族、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、退伍军人身份和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,雇主也可能仅以此为由拒绝继续处理申请人的申请。

薪资

Databricks致力于公平和公正的薪酬实践。该职位的薪资范围列于下方,代表非佣金制职位的预期薪资范围或佣金制职位的目标收入。实际薪酬方案基于每位候选人独有的若干因素,包括但不限于与工作相关的技能、经验深度、相关认证和培训以及具体工作地点。基于上述因素,Databricks预计将使用该范围的全部宽度。该职位的总薪酬方案还可能包括年度绩效奖金、股权以及上述福利的资格。有关您所在位置属于哪个范围的更多信息,请访问我们的页面此处。

当地薪资范围 $180,000 — $247,500 USD

关于Databricks

Databricks是数据和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——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。

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

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. #LI-REMOTE

As a Strategic Solutions Architect on the Digital Natives team, you will shape the future of the big data landscape of one of the largest global tech companies by working with the most sophisticated data engineering and data science teams.

Reporting to the Field Engineering Manager, you will collaborate with customer stakeholders, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide one of our largest AI native customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way.

The impact you will have:

• You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.

• Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications

• Collaborate with your fellow Solutions Architects, using your skills to support each other and our users

• Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.

What we look for:

• 5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role

任职要求

• Comfortable programming in, and debugging, Python and SQL

• Have built solutions with public cloud providers such as AWS, Azure, or GCP

• Expertise in one of the following: • Data Engineering technologies ( Ex: Spark, Hadoop, Kafka )

• Data Science and Machine Learning technologies ( Ex: pandas, scikit-learn, pytorch, Tensorflow )

• Available to travel to customers in your region

• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)

• Nice to have: Databricks Certification

NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply. We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths.

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.

薪资

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here .

Local Pay Range $180,000 — $247,500 USD

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 .

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