工程经理 - Databricks SQL 控制平面
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Engineering Manager - Databricks SQL Control PlaneDatabricks · Mountain View, California · From 1
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发现指数 59/100,仅依据与该职位一起存储的证据计算。
- 新的雇主官方职位
- 已披露薪资
分数构成
- 时效性 (随职位发布时间变化)+18
- 雇主官方来源+15
- 已披露薪资+15
- 稀有职位+3
- 公司来源健康度+8
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职位描述
机器翻译RDQ326R233
在 Databricks,我们热衷于帮助数据团队解决世界上最棘手的问题——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 SQL (DBSQL) 是 Databricks Lakehouse 平台上的无服务器数据仓库,可让您大规模运行所有 SQL 和 BI 应用程序。Databricks SQL 控制平面团队构建可扩展的解决方案,用于管理多租户 DB SQL 服务。该团队创建并维护相关服务,使客户能够创建数据仓库、在数秒内完成扩缩容,并大规模运行关键任务工作负载。该团队正在寻找一位工程经理,来牵头开发我们下一代产品的新服务和架构。
主要职责包括:
• 领导一支由优秀软件工程师组成的团队,构建下一代低延迟、多租户、云原生数据仓库系统
• 通过招聘优秀的工程人才来壮大团队
• 主导并参与与云原生数据库系统相关的技术、产品和设计讨论
• 管理和运营云端的高可用服务
• 通过提供辅导、指导和成长机会,培养团队中的领导者
• 在制定团队的产品和工程路线图方面发挥关键作用
• 与其他工程和产品负责人合作,进行规划、优先级排序和人员配置。
• 在团队中打造卓越文化,同时以同理心领导
我们期望的人选:
• 5 年以上数据库系统、数据处理或相关领域的工作经验
任职要求
• 组建、发展和管理高绩效团队
• 有能力吸引并招聘符合 Databricks 招聘标准的工程师。
• 能够自如地与产品管理和合作伙伴跨职能协作,打造推动用户增长的产品
优先条件
福利待遇
在 Databricks,我们致力于提供全面的福利和津贴,以满足所有员工的需求。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 求职的个人,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,且雇主可能仅基于这一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多项因素,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 预计会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。如需了解您所在地区属于哪个薪资范围,请访问我们的页面此处。
第 1 区薪资范围 $190,000 — $261,250 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,在全球设有 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
RDQ326R233
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.
Databricks SQL (DBSQL) is a serverless data warehouse on the Databricks Lakehouse Platform that lets you run all your SQL and BI applications at scale. The Databricks SQL Control Plane team builds scalable solutions for managing the multi-tenanted DB SQL service. This team creates and maintains services that allow customers to create a data warehouse, scale it within seconds, and run mission critical workloads at scale. The team is seeking an Engineering Manager to spearhead the development of a new service and architecture for the next generation of our product.
The key responsibilities include:
• Leading a team of talented software engineers to build the next-generation low-latency, multi-tenanted, cloud native data warehousing system
• Growing the team by hiring strong engineering talent
• Leading and participating in technical, product and design discussions relating to cloud native database systems
• Managing and operating a highly available service in the cloud
• Growing leaders on the team by providing coaching, mentorship and growth opportunities
• Playing a key role in defining the product and engineering roadmap for the team
• Partnering with other engineering and product leaders on planning, prioritization and staffing.
• Creating a culture of excellence on the team while leading with empathy
What we look for:
• 5+ years experience working in, database systems, data processing or related domains
任职要求
• Building, growing and managing high performance teams
• Ability to attract and hire engineers who meet the Databricks hiring standards.
• Comfort working cross functionality with product management and partners to build products that drive user growth
Preferred
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 .
Zone 1 Pay Range $190,000 — $261,250 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 .