资深分析工程师
Staff Analytics Engineer
加入正在为人工智能时代构建遥测基础设施的公司。在Cribl，我们与全球许多大型企业的IT和安全团队合作，包括财富100强中的一半企业，弥合人工智能愿景与基础设施现实之间的差距。作为遥测的AI平台，我们为客户提供了选择、控制和灵活性，以管理和分析人类和代理的遥测数据，使他们能够打造未来。
我们是增长最快的私营公司之一，在一个巨大且快速发展的市场中处于领先地位。我们拥有全球化的员工队伍，采用远程优先的工作方式，并秉持一个简单的理念：软件是一项以人为本的业务。Cribl是充满好奇心和协作精神的人们可以发挥最佳水平、快速成长并展现真实自我的地方。
**为什么你会喜欢这个职位**
作为Cribl数据团队的一员，你将负责我们分析工程平台的演进，确保我们的数据模型值得信赖、可扩展且具备AI就绪能力。
分析工程将原始数据转化为受控、业务就绪的模型，为分析、高管报告和AI驱动的决策提供支持。随着Cribl的持续扩展，这一角色将建立架构、标准和技术实践，从而在产品、工程、客户、营销、GTM和财务等各个领域实现一致且可信的分析。
你将成为分析工程的技术领导者，与分析师、数据工程师、治理团队和业务利益相关者紧密合作，提升仓库的质量、一致性和可靠性。虽然分析师负责其领域内的业务逻辑，你将负责技术架构、建模标准和工程实践，使我们的分析平台得以扩展。
如果你喜欢构建赋能他人的系统，高度重视数据质量和开发者体验，并希望塑造Cribl分析的未来，我们很期待与你交谈。
**作为团队的活跃成员，你将…**
- 负责Cribl分析工程平台的长期架构和演进，包括基础模型的稳定化和AI就绪性。
- 设计、构建和维护经过认证的dbt模型，作为业务关键指标的权威来源。
- 建立并执行分析工程的标准，包括建模、测试、文档和代码审查，包括对高影响dbt变更的审查。
- 设计和维护语义层和元数据层，以实现可靠的AI
查看英文原文
Join the company that’s building the telemetry infrastructure for the AI era. At Cribl, we partner with IT and Security teams at many of the world’s biggest enterprises, including half of the Fortune 100, to bridge the gap between AI ambition and infrastructure reality. As the AI Platform for Telemetry, we give customers the choice, control, and flexibility to manage and analyze telemetry for both humans and agents, so they can build what’s next.
We’re one of the fastest‑growing private companies and a leading player in a massive, fast‑moving market. With a global workforce, we’re remote‑first and grounded in a simple idea: software is a people business. Cribl is the place where curious, collaborative people can do their best work, grow fast, and bring their full selves to the herd.
**Why You’ll Love This Role**
As part of the Data team at Cribl, you will own the evolution of our analytics engineering platform, ensuring our data models are trusted, scalable, and AI-ready.
Analytics Engineering transforms raw data into governed, business-ready models that power analytics, executive reporting, and AI-enabled decision making. As Cribl continues to scale, this role will establish the architecture, standards, and technical practices that enable consistent, trusted analytics across Product, Engineering, Customer, Marketing, GTM, and Finance.
You will serve as a technical leader for analytics engineering, partnering closely with analysts, data engineers, governance, and business stakeholders to improve the quality, consistency, and reliability of our warehouse. While analysts own business logic within their domains, you will own the technical architecture, modeling standards, and engineering practices that allow our analytics platform to scale.
If you enjoy building systems that enable others, care deeply about data quality and developer experience, and want to shape the future of analytics at Cribl, we'd love to talk to you.
**As An Active Member Of Our Team, You Will…**
- Own the long-term architecture and evolution of Cribl's analytics engineering platform, including foundational model stabilization and AI readiness.
- Design, build, and maintain certified dbt models as the authoritative source for business-critical metrics.
- Establish and enforce analytics engineering standards for modeling, testing, documentation, and code review, including review of high-impact dbt changes.
- Design and maintain semantic and metadata layers that enable reliable AI-powered analytics and self-service.
- Partner with analysts to migrate high-value business logic from Omni into governed warehouse models.
- Partner with Data Engineering to improve source reliability, warehouse architecture, and Snowflake performance and cost efficiency.
- Mentor analysts and analytics engineers on dbt development, data modeling, and analytics engineering best practices.
- We are a remote-first company and work happens across many time-zones - you may be required to occasionally perform duties outside your standard working hours.
**If You’ve Got It - We Want It**
- 7+ years of experience in analytics engineering, data engineering, or a related technical field, including at least 3 years of hands-on experience running dbt in a production environment, with expert-level SQL and demonstrated ownership of scalable dimensional models.
- Deep expertise in modern analytics engineering practices, including version control, testing, CI/CD, documentation, data contracts, lineage, and governance.
- Experience designing reusable semantic models, certified metrics, and warehouse architectures that enable self-service analytics across multiple business domains.
- Strong understanding of Snowflake performance optimization and modern cloud data warehouse architecture.
- Demonstrated ability to establish technical standards, influence engineering practices without formal authority, and improve platform reliability while reducing technical debt.
- Experience with semantic layers, metadata management, or AI-enabled analytics platforms.
- Proven ability to partner closely with analysts to translate business requirements into scalable, maintainable warehouse models.
- Strong communication skills with the ability to explain complex technical concepts and tradeoffs to both technical and business audiences.
#LI-JB1
#LI-Remote
The salary for this role is dependent on geographic location and will be based on the individual candidate's job-related knowledge, skills, and experience.
In addition to base salary, for sales and some sales-adjacent roles, employees are eligible to earn incentive compensation (commission). For all other roles, employees are eligible to participate in the Cribl Corporate Bonus Program.
In addition to a competitive salary, Cribl also offers a generous benefits package which includes health, dental, vision, short-term disability, and life insurance, paid holidays and paid time off, a fertility treatment benefit, 401(k), and equity.
Base Salary Range
$170,000—$215,000 USD
**Bring Your Whole Self**
Diversity drives innovation, enables better decisions to support our customers, and inspires change for the better. We’re building a culture where differences are valued and welcomed, and we work together to bring out the best in each other. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.
Interested in joining the Cribl herd? Learn more about the smartest, funniest, most passionate goats you’ll ever meet at [cribl.io/about-us](https://cribl.io/about-us/).