Staff Analytics Engineer

📋 Description

• Own the long-term architecture and evolution of Cribl's analytics platform, AI-ready.
• Design, build, and maintain certified dbt models as the source of metrics.
• Establish analytics engineering standards for modeling, testing, docs, and code review.
• Design and maintain semantic and metadata layers for AI-powered analytics.
• Partner with analysts to migrate key logic into governed warehouse models.
• Partner with Data Engineering to improve source reliability and Snowflake performance.

🎯 Requirements

• 7+ years in analytics or data engineering; 3+ years dbt in production; expert SQL and scalable models.
• Deep expertise in analytics engineering, incl. version control, testing, CI/CD, governance.
• Experience designing semantic models, certified metrics, and scalable warehouse architectures.
• Strong Snowflake optimization and cloud data warehouse knowledge.
• Proven ability to set standards, influence practices, and reduce technical debt.
• Experience with semantic layers, metadata management, or AI-enabled analytics.

🎁 Benefits

• Generous benefits: health, dental, vision, disability, life insurance, PTO, holidays, 401(k), and equity.