Note: The job is a remote job and is open to candidates in USA. Cribl is a leading player in telemetry infrastructure for the AI era, partnering with major enterprises to enhance their analytics capabilities. The Staff Analytics Engineer will own the evolution of the analytics engineering platform, ensuring data models are scalable and AI-ready while collaborating with various teams to improve data quality and consistency.
Responsibilities
- 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
Skills
- 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
Benefits
- Incentive compensation (commission) for sales and some sales-adjacent roles
- Cribl Corporate Bonus Program for all other roles
- Health, dental, vision, short-term disability, and life insurance
- Paid holidays and paid time off
- A fertility treatment benefit
- 401(k)
- Equity
Company Overview
Company H1B Sponsorship