解决方案架构师 - 公共部门（SLED）
Solutions Architect - Public Sector (SLED)
FEQ427R58
使命
Databricks 的解决方案架构师引领 Databricks 统一分析平台的增长。我们团队在云平台、数据工程、数据分析以及数据科学和机器学习方面具有专业知识。作为团队成员，您将在这些领域中发挥并发展专业知识，使用开源项目如 Apache Spark、MLflow 和 Delta Lake。这是一个面向客户的职位，您将与客户、您的同事、产品团队和售后团队合作，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，您将与客户建立关系，发现并培养拥护者，并成为值得信赖的顾问。您将向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 如何解决他们的业务问题
- 为客户提供技术领导，帮助他们评估和采用 Databricks
- 就大数据架构提供建议，为战略客户项目、数据科学和机器学习项目实施概念验证，并验证与云服务和其他第三方应用的集成
- 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 所启发的开源项目（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进行拜访
我们寻找的人选：
- 具有 6 年以上面向客户的售前、技术架构或咨询角色经验
- 具有设计和构建分布式数据系统的经验
- 熟悉至少一种编程语言：Python、Scala、Java、SQL 或 R，并能够进行调试
- 具有支持政府客户的经验
- 具有使用公共云供应商（如 AWS、Azure 或 GCP）构建解决方案的经验
- 数据工程技术（例如 Spark、Hadoop、Kafka）
- 数据仓库（例如 SQL、OLTP/OLAP/DSS）
- [优先] 量化学科的学位（计算机科学、应用数学、运筹学）
- 美国公民
薪资范围透明度
Databricks 致力于公平和公正的薪酬实践。该职位的薪资范围如下，代表非佣金职位的预期薪资范围或佣金目标收入。
查看英文原文
FEQ427R58
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:
- 6+ years in a customer-facing pre-sales, technical architecture, or consulting role
- Experience designing and architecting distributed data systems
- Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R
- Experience supporting Public Sector clients
- 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)
- US Citizen
Pay Range Transparency
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.
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.