Staff Analytics Engineer

🕒 July 21

🏄 California – Remote

🏄 California – Remote

💵 $145k - $190k / year

⏰ Full Time

🔴 Lead

📊 Analytics Engineer

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Cribl

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2017

☁️ SaaS

SaaS • Cloud

Cribl is a company providing a cloud-based service, allowing users to manage and analyze their data through a web application. The service includes features for user accounts and integration with Google for authentication.

📋 Description

• 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 • 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 • work may happen across many time zones

🎯 Requirements

• 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 • 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 • 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

• health, dental, vision, short-term disability, and life insurance • paid holidays and paid time off • a fertility treatment benefit • 401(k) • equity