解决方案架构师 - 金融服务（银行与支付）
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Solutions Architect - Financial Services (Banking and Payments)Databricks · Chicago, Illinois; Dallas, Texas; Denver, Colorado; Los Angeles, California; Portland, Oregon; San Francisco, California; Seattle, Washington
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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。
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职位描述
机器翻译FEQ327R400
使命
Databricks 的解决方案架构师负责引领 Databricks 统一分析平台的增长。作为一个团队，我们在云平台、数据工程、数据分析以及数据科学与机器学习方面拥有专业知识。作为我们团队的一员，您将运用并发展这些领域的专业知识，使用 Apache Spark、MLflow 和 Delta Lake 等开源项目。这是一个面向客户的职位，您将与客户、您的队友、产品团队以及我们的售后团队合作，识别 Databricks 的用例，使用我们的平台开发架构和解决方案，并指导客户完成实施，以实现价值。在此过程中，您将与我们的客户建立关系，发现并培养支持者，并成为值得信赖的顾问。您将向该团队的现场工程经理汇报。
您将产生的影响：
• 与销售团队合作，帮助客户了解 Databricks 如何帮助解决他们的业务问题
• 为客户提供技术领导力，以评估和采用 Databricks
• 就大数据架构提供咨询，为战略性客户项目、数据科学和机器学习项目实施概念验证，并验证与云服务及其他第三方应用程序的集成
• 为客户构建并展示参考架构、操作指南和演示应用程序
• 成为 Databricks 启发的开源项目（Spark、Delta Lake、MLflow 和 Koalas）的专家，并通过聚会、会议和网络研讨会，在开发者社区中推广这些项目
• 前往您所在地区的客户处出差
我们寻找的人才：
• 7 年以上面向客户的售前、技术架构或咨询职位经验
任职要求
• 能够熟练使用以下至少一种语言进行编程和调试：Python、Scala、Java、SQL 或 R
• 曾使用 AWS、Azure 或 GCP 等公有云提供商构建解决方案
• 数据工程技术（例如：Spark、Hadoop、Kafka）
• 数据仓库（例如：SQL、OLTP/OLAP/DSS）
• [优先] 定量学科（计算机科学、应用数学、运筹学）学位
福利待遇
在 Databricks，我们致力于提供全面的福利和津贴，以满足我们所有员工的需求。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，我们致力于营造一种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、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，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完整区间。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。有关您所在地区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。
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职位描述
FEQ327R400
Mission
Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Field Engineering Manager for the team.
The impact you will have:
• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications
• Build and present references architectures, how-tos, and demo applications for customers
• Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars
• Travel to customers in your region
What we look for:
• 7+ years in a customer-facing pre-sales, technical architecture, or consulting role
任职要求
• Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Data Engineering technologies ( Ex: Spark, Hadoop, Kafka )
• Data Warehousing ( Ex: SQL, OLTP/OLAP/DSS )
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
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 .