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.
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.
Skills Required
- 7+ years of experience in analytics engineering, data engineering, or a related technical field
- At least 3 years of hands-on experience running dbt in production
- Expert-level SQL and demonstrated ownership of scalable dimensional models
- Deep expertise in analytics engineering practices: version control, testing, CI/CD, documentation, data contracts, lineage, and governance
- Experience designing reusable semantic models, certified metrics, and warehouse architectures for self-service analytics
- Strong understanding of Snowflake performance optimization and modern cloud data warehouse architecture
- Experience with semantic layers, metadata management, or AI-enabled analytics platforms
- Demonstrated ability to establish technical standards and influence engineering practices without formal authority
- Proven ability to partner closely with analysts to translate business requirements into scalable, maintainable warehouse models
- Strong communication skills to explain technical concepts and tradeoffs to technical and business audiences
Cribl Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cribl and has not been reviewed or approved by Cribl.
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Affordable Benefits — Medical and dental premiums are fully covered for individuals in the U.S., with low costs for dependents, and the plans are described as low‑cost overall. This positions healthcare expenses favorably for many employees.
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Leave & Time Off Breadth — Unlimited PTO, paid holidays, and periodic company “refresh” or winter‑break days provide ample time away. Flexible schedules further support taking time when needed.
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Wellbeing & Lifestyle Benefits — A monthly stipend for home office, phone, and internet, plus strong remote‑work setup support, underpin the remote‑first model. Additional perks like recharge days and equipment support bolster day‑to‑day wellbeing.
Cribl Insights
What We Do
Cribl, the AI Platform for Telemetry, empowers enterprises to manage and analyze telemetry for both humans and agents. Trusted by organizations worldwide, including half of the Fortune 100, Cribl bridges the gap between AI ambition and infrastructure reality. No lock-in. No data loss. No compromises. Cribl’s vendor-agnostic platform ensures data remains portable and interoperable. By cost-effectively handling increasing data volume and variety without delay, Cribl gives enterprises the choice, control, and flexibility to build what’s next.
Why Work With Us
We are building the company that will become the industry leader in IT and Security data. But, doing that doesn’t mean we’re always serious. We approach our work fearlessly, learn quickly, improve constantly, and celebrate our wins at every turn. And more importantly, we laugh a lot.
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