远程工作雷达

高级软件工程师(数据平台)

Senior Software Engineer (Data Platform)

开发工程限定地区(需当地身份)
公司G-P
薪资未公开
工作地点India (Remote-First)
地域资格限定地区(需当地身份)
时区要求无特别要求
用工类型未标注
发布时间2026-04-21
数据来源Greenhouse
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注意地域限制:该职位明确限定在 India (Remote-First) 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

我们领先的基于SaaS的全球雇佣平台™ 使客户能够快速高效地进入180多个国家,而无需建立本地实体。在G-P,我们致力于打破全球业务的障碍,为世界各地的每个人创造机会。

我们多元化的远程优先团队是成功的关键。我们为梦想团队成员提供灵活性和资源,营造一个创新蓬勃发展、每一份贡献都受到重视和庆祝的环境。

在这里的工作将对全球人们的生活产生积极影响。我们坚守承诺:机会触手可及。除了具有竞争力的薪酬和福利,我们邀请您加入我们,拓展技能并帮助重塑工作的未来。

在G-P,我们帮助组织在几天内而非几个月内打造卓越的全球团队——简化招聘、入职和管理流程,释放所有人的增长潜力。

职位简介

作为高级数据工程师,您将是AI原生数据平台的架构支柱。您不仅仅会构建数据管道;您还将设计自助服务框架和高性能引擎,为公司每个产品和AI工作流提供支持。

您将弥合战略领导与技术执行之间的差距,确保我们的Databricks Lakehouse能够高效扩展以处理数百个服务,同时保持世界级的数据可靠性和成本效率。

您将负责

设计数据平台

  • 领导内部SDK和自助服务框架的设计与实现,使分布式工程团队能够自主摄取和转换数据。
  • 从“管道构建”转向“平台工程”,创建用于批处理和实时事件处理的可重用模式。

掌控平台性能

  • 全面负责Databricks生态系统的成本效益。您将优化Spark执行计划,优化shuffle分区,并实施自动扩展策略以管理DBU消耗。
  • 确保随着数据量的增长,平台保持高性能,平衡延迟、吞吐量和云支出之间的权衡。

推动数据契约与治理

  • 实施写入时模式验证和数据契约,确保数百个内部服务的数据在进入青铜层之前符合严格的质量标准。
  • 与数据架构师和数据负责人合作,确保数据质量
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About Us

Our leading SaaS-based Global Employment Platform™ enables clients to expand into over 180 countries quickly and efficiently, without the complexities of establishing local entities. At G-P, we’re dedicated to breaking down barriers to global business and creating opportunities for everyone, everywhere.

Our diverse, remote-first teams are essential to our success. We empower our Dream Team members with flexibility and resources, fostering an environment where innovation thrives and every contribution is valued and celebrated.

The work you do here will positively impact lives around the world. We stand by our promise: Opportunity Made Possible. In addition to competitive compensation and benefits, we invite you to join us in expanding your skills and helping to reshape the future of work.

At G-P, we assist organizations in building exceptional global teams in days, not months—streamlining the hiring, onboarding, and management process to unlock growth potential for all.

About the Role

As a Senior Data Engineer, you will be the architectural backbone of the AI-native Data Platform. You won't just build pipelines; you will design the self-service frameworks and high-performance engines that power every product and AI workflow across the company.

You will bridge the gap between strategic leadership and technical execution, ensuring that our Databricks Lakehouse scales efficiently to handle hundreds of services while maintaining world-class data reliability and cost-efficiency.

What You Will Do

Architect the Data Platform

  • Lead the design and implementation of internal SDKs and self-service frameworks that enable distributed engineering teams to ingest and transform data autonomously.
  • Shift from "pipeline building" to "platform engineering," creating reusable patterns for batch and real-time event processing.

Own Platform Performance

  • Take full ownership of the cost-effectiveness of the Databricks ecosystem. You will tune Spark execution plans, optimize shuffle partitions, and implement auto-scaling strategies to manage DBU consumption.
  • Ensure the platform remains performant as volume grows, managing the trade-offs between latency, throughput, and cloud spend.

Drive Data Contracts & Governance

  • Implement Schema-on-Write validation and Data Contracts to ensure data from hundreds of internal services meets strict quality standards before hitting the Bronze layer.
  • Partner with the Data Architect & Data Stewards to enforce data privacy (PII), security standards, and metadata lineage across the global ecosystem.

Lead an AI-Infused SDLC

  • Champion the use of AI-assisted development tools (e.g., GitHub Copilot, Cursor) to accelerate the engineering lifecycle and improve code quality.
  • Mentor engineers on distributed computing best practices, conducting deep-dive code reviews that focus on scalability and maintainability.

What We Are Looking For

  • Scale Specialist: 5+ years of experience building and operating production-grade data systems at massive scale.
  • Databricks Expert: Deep, hands-on mastery of the Databricks/Spark ecosystem (Delta Lake, DLT, Spark UI debugging, and performance tuning).
  • Streaming Veteran: Proven track record of building Real-time/Streaming architectures (Spark Structured Streaming, Kafka, or Kinesis) as a core production requirement.
  • Optimisation Mindset: Experience managing and optimizing cloud costs in a high-growth environment.
  • Platform Thinker: Experience building APIs, tools, or frameworks used by other internal engineering teams.

Our ranges are established using objective market benchmarking data for this level of work. Final placement within the range is determined by gender-neutral criteria, including the candidate's relevant skills, experience, and specific qualifications for the role.

Actual compensation for this position may vary and will depend on multiple factors such as relevant qualifications, experience, education, and geographic location. For Full-Time Regular Employees, this position is also eligible for additional compensation as follows:

  • Sales Roles: This position is eligible for a commission structure in addition to base salary.
  • Non-Sales Roles: This position is eligible for an annual bonus which is paid dependent on various factors, including and without limitation, individual and company performance in addition to base salary.

Benefits

G-P values its employees and offers excellent benefits and perks including generous paid parental leave, flexible time off, spending accounts, medical insurance, dental insurance, vision insurance, sabbatical after 5 years and more.

Individuals residing, or applying to work, in the United States: California or Philadelphia, Pennsylvania, please review the following additional information:

G-P will consider qualified applicants with arrest or conviction records in accordance with the California Fair Chance Act, Los Angeles City Fair Chance Act Ordinance, Los Angeles County Fair Chance Act Ordinance, and San Francisco Fair Chance Act Ordinance. Los Angeles applicants can review additional information regarding the Los Angeles City Fair Chance Act here: Fair Chance Initiative for Hiring Ordinance, and Philadelphia applicants can review information pertaining to Philadelphia’s Fair Criminal Record Screening Standards Ordinance here: Fair Chance Poster. Any consideration of a candidate’s background check with arrest or conviction records will include an individualized assessment based on the factors required by applicable law, including the candidate’s specific record and the duties and requirements of the specific job.

G-P. Global Made Possible.

G-P is a proud Equal Opportunity Employer, and we are committed to building and maintaining a diverse, equitable and inclusive culture that celebrates authenticity. We prohibit discrimination and harassment against employees or applicants on the basis of race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other legally protected status.

G-P also is committed to providing reasonable accommodations to individuals with disabilities. Individuals with disabilities are encouraged to apply for these positions. If you need an accommodation due to a disability during the interview process, please contact us at careers@g-p.com.

本页面信息整理自 Greenhouse,版权归原发布方所有。职位可能随时关闭,投递请以原始页面为准。 本站只做信息聚合展示,不参与招聘流程,也不向求职者收取任何费用。

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