Staff Analytics Engineer

Cribl
United States
Workplace: RemoteFull timeUSD 145,000 - 190,000 annuallyFunction: Data Analytics & Business IntelligenceExperience: 7+ yearsSkills: ["Communication","Mentoring","Partnering","Ownership","Technical leadership"]

Own the evolution of an analytics engineering platform that turns raw telemetry data into trusted, scalable, AI-ready models. Build and maintain certified dbt models, establish standards for modeling/testing/documentation/code review, and design semantic/metadata layers for reliable analytics and self-service. Partner with analysts and data engineering to migrate business logic into governed warehouse models, improve Snowflake performance and cost efficiency, and mentor others on dbt and data modeling best practices.

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FursaFursa
Cribl
Cribl
1 month ago

Staff Analytics Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Own the evolution of an analytics engineering platform that turns raw telemetry data into trusted, scalable, AI-ready models. Build and maintain certified dbt models, establish standards for modeling/testing/documentation/code review, and design semantic/metadata layers for reliable analytics and self-service. Partner with analysts and data engineering to migrate business logic into governed warehouse models, improve Snowflake performance and cost efficiency, and mentor others on dbt and data modeling best practices.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Own the long-term architecture and evolution of the analytics engineering platform, including model stabilization and AI readiness.
  • •Design, build, and maintain certified dbt models as the authoritative source for business-critical metrics.
  • •Establish and enforce 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 and data engineering to migrate and govern business logic, and improve warehouse reliability plus Snowflake performance and cost efficiency.

Pay and Benefits

Salary: USD 145,000 - 190,000 annually
Perks:Health InsuranceDentalVisionLife InsurancePaid HolidaysPaid Leave401kEquity

Key Requirements

  • •7+ years in analytics engineering, data engineering, or related technical field; at least 3 years running dbt in a production environment; expert-level SQL and ownership of scalable dimensional models.
  • •Deep expertise in 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 for self-service analytics across business domains.
  • •Strong understanding of Snowflake performance optimization and modern cloud data warehouse architecture.
  • •Ability to establish technical standards and influence engineering practices without formal authority while improving platform reliability and reducing technical debt.
Experience:7+ yearsAnalytics engineeringData engineeringProduction dbtCloud data warehouses
Skills:CommunicationMentoringPartneringOwnershipTechnical leadership
Languages:English
Tech Stack:DbtSQLCI/CDSnowflakeVersion controlData contractsLineageSemantic modelsMetadata layersOmni

Company Brief

Cribl
Builds observability and data routing software that enables organizations to collect, process, and route machine data (logs, metrics, traces) to analytics and storage destinations while reducing costs and improving operational visibility.
Industry: Data Infrastructure
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Funding: Series D
Headquarters: San Francisco, United States
Founded: 2017
WebsiteLinkedIn