高级资深软件工程师 - Enzyme
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Senior Staff Software Engineer - EnzymeDatabricks · Mountain View, California
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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+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。
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职位描述
机器翻译职位名称：高级主任软件工程师 - Enzyme
地点：加利福尼亚州山景城
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P-1183
在 Databricks，我们热衷于帮助数据团队解决世界上最棘手的难题——从让下一代交通方式成为现实，到加速医学突破的研发。我们通过构建和运行全球最佳的数据与 AI 基础设施平台来实现这一目标，让我们的客户能够利用深度数据洞察来改进其业务。
Databricks 的 Lakeflow 工程团队负责整个 ETL 产品线。这包括 Materialized Views、Structured Streaming 和 Delta Live Tables 等产品。我们运营着全球最大（如果不是最大）的数据工程平台之一——每天为成千上万的客户处理 EB 级数据。
我们正在寻找一位专注的技术领导者来带领 Materialized Views 工程团队。该团队负责为 ETL 工作负载和查询加速构建下一代 Materialized View 功能。
作为该团队的一员，您将在一个或多个以下领域工作，设计和实现这些超越现有最先进水平的下一代系统：
• 增量维护物化视图
• 查询优化
• 资源管理
• 高效的存储结构
• 自动物理数据优化
您将产生的影响：
• 运用您的软件工程能力，大规模解决真实的业务需求。
• 为物化视图交付高度可扩展、高可用且容错的架构
• 在大型生产集群上进行底层系统调试、性能测量与优化。
• 构建架构设计，影响产品路线图，并对新项目承担所有权和责任。
• 引入工具以实现更高程度的自动化和服务可运维性。
• 运用您的深厚经验帮助预防和调查生产问题。
• 规划并领导与公司内多个团队协作的复杂技术项目。
任职要求
• 15 年以上构建和支持大规模分布式系统的行业经验。
• 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
• 以交付客户价值和影响力为动力。
• 在算法和数据结构及其实际应用场景方面具备扎实基础。
• 有推动公司举措以实现客户满意度的经验。
• 计算机科学或相关专业 BS/MS/PhD，或同等经验。
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。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。在 Databricks 寻求就业机会的个人，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，且雇主可能仅基于此原因而拒绝继续推进申请人的流程。
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。如需了解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 $235,000 — $295,000 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。
查看雇主原文
职位描述
Job Title: Senior Staff Software Engineer - Enzyme
Location: Mountain View, California
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P-1183
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.
The Lakeflow Engineering team here at Databricks is responsible for the entirety of the ETL product line. This includes products such as Materialized Views, Structured Streaming, and Delta Live Tables. We run one of the world's biggest (if not the biggest) data engineering platforms - responsible for processing exabytes of data daily for tens of thousands of customers.
We're seeking a dedicated technical leader to spearhead the Materialized Views engineering team. The team is responsible for building next generation Materialized View features for both ETL workloads and for query acceleration.
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:
• Incrementally maintaining materialized views
• Query optimization
• Resource management
• Efficient storage structures
• Automatic physical data optimization
The Impact you will have:
• Solve real business needs at large scale by applying your software engineering.
• Deliver a highly scalable, available, and fault-tolerant architecture for materialized views
• Low level systems debugging, performance measurement & optimization on large production clusters.
• Build architecture design, influence product roadmap, and take ownership and responsibility over new projects.
• Introduce tools to allow greater automation and operability of services.
• Use your deep experience to help prevent and investigate production issues.
• Plan and lead complicated technical projects that work with several teams within the company.
任职要求
• 15+ years industry experience building and supporting large-scale distributed systems.
• A passion for database systems, storage systems, distributed systems, language design, or performance optimization
• Motivated by delivering customer value and impact.
• Strong foundation in algorithms and data structures and their real-world use cases.
• Experience driving company initiatives towards customer satisfaction.
• BS/MS/PhD in Computer Science or related majors, or equivalent experience.
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 $235,000 — $295,000 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 .