高级软件工程师 - 数据库引擎内核
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Senior Software Engineer - Database Engine InternalsDatabricks · San Francisco, California
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职位描述
机器翻译P-97
我们在 Databricks 的使命是通过统一平台，从根本上简化从数据摄取到 ETL、BI，直至 ML/AI 的整个数据生命周期。为实现这一目标，我们相信当今众所周知的数据仓库架构将被一种新的架构模式所取代，即 Lakehouse（CIDR 2021 论文），这是一种统一数据仓库与高级分析的开源平台。新架构将有助于解决若干重大挑战，包括数据陈旧、可靠性、总拥有成本、数据锁定以及用例支持有限等问题。
实现这一愿景的关键部分，是下一代（解耦）查询引擎和结构化存储系统，它能够在关系查询性能上超越专用数据仓库，同时保留 Spark™ 等通用系统的表达能力和灵活性，以支持从 ETL 到数据科学的多样化工作负载。
作为该团队的一员，您将在一个或多个以下领域工作，以设计和实现这些超越现有最先进水平的下一代系统：
• 查询编译与优化
• 分布式查询执行与调度
• 向量化执行引擎
• 数据安全
• 资源管理
• 事务协调
• 高效存储结构（编码、索引）
• 自动物理数据优化
我们寻找的人才：
• 对数据库系统、存储系统、分布式系统、语言设计或性能优化充满热情
任职要求
• 以交付客户价值和影响力为动力
• 5 年以上相关系统工作经验（优先）
• 可选：数据库或分布式系统博士学位
福利待遇
在 Databricks，我们致力于提供满足所有员工需求的全面福利和待遇。有关您所在地区所提供福利的具体详情，请点击此处。
我们对多元与包容的承诺
在 Databricks，我们致力于营造多元包容的文化，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、身体和精神能力、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。
薪资
Databricks 致力于公平公正的薪酬实践。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。实际薪酬方案取决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 预计将使用该薪资范围的全部区间。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。有关您所在地区属于哪个薪资范围的更多信息，请访问我们的页面此处。
当地薪资范围 $166,000 — $225,000 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。
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
P-97
Our mission at Databricks is to radically simplify the whole data lifecycle from ingestion to ETL, BI, and all the way up to ML/AI with a unified platform. To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse ( CIDR 2021 paper ), open platforms that unify data warehousing and advanced analytics. The new architecture will help address several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support.
A critical part of realizing this vision is the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance, yet retain the expressiveness and of general purpose systems such as Spark™ to support diverse workloads ranging from ETL to data science.
As part of this team, you will be working in one or more of the following areas to design and implement these next gen systems that leapfrog state-of-the-art:
• Query compilation and optimization
• Distributed query execution and scheduling
• Vectorized execution engine
• Data security
• Resource management
• Transaction coordination
• Efficient storage structures (encodings, indexes)
• Automatic physical data optimization
What we look for:
• A passion for database systems, storage systems, distributed systems, language design, or performance optimization
任职要求
• Motivated by delivering customer value and impact
• 5+ years of experience working in a related system (preferred)
• Optional: PhD in databases or distributed systems
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 $166,000 — $225,000 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 .