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Staff Analytics Engineer

Role overview

Qualifications

  • 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 a production environment
  • Expert-level SQL and demonstrated ownership of scalable dimensional models
  • Strong understanding of Snowflake performance optimization and modern cloud data warehouse architecture

Responsibilities

  • Own the long-term architecture and evolution of Cribl's analytics engineering platform
  • 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
  • Mentor analysts and analytics engineers on dbt development, data modeling, and analytics engineering best practices

About the company

Cribl logo

Cribl

Developer Tools & DevOps Platforms

Cribl makes open observability a reality for today’s tech professionals. The Cribl product suite defies data gravity with radical levels of choice and control. Wherever the data comes from, wherever it needs to go, Cribl delivers the freedom and flexibility to make choices, not compromises. It’s enterprise software that doesn’t suck, enables tech professionals to do what they need to do, and gives them the ability to say “Yes.” With Cribl, companies have the power to control their data, get more out of existing investments, and shape the observability future. Founded in 2017, Cribl is a remote-first company with an office in San Francisco, CA. For more information, visit www.cribl.io or our LinkedIn, Twitter, or Slack community.

Company details

Company typeScaleup
IndustryDeveloper Tools & DevOps Platforms
Company size201 - 500

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Job description

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
$145,000$190,000 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

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Marcus Rivera

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