Staff Data Engineer: Tech Lead for AI Telemetry Platform

Cribl; Columbus (OH); Remote; USD 170,000 - 220,000; Full time

Benefits offered by this job

Health benefits

Dental

Vision

Short-term disability

Life insurance

Paid holidays

Paid time off

Fertility treatment benefit

401(k)

Equity

Job summary

Cribl is seeking a Staff Data Engineer to lead Cribl's Data Engineering team, shaping architecture for our data systems and pipelines. You will mentor engineers, own the Snowflake environment, and drive cost-efficient, scalable solutions across analytics, data science, and AI/agentic workflows.

You will work across the modern data stack (Snowflake, SQL, dbt) and cloud infrastructure (AWS, Terraform), delivering production-grade, secure data platforms with robust observability and governance.

Qualifications

• Strong Python and SQL fundamentals, with solid ELT patterns and data modeling experience.
• Hands-on AWS and infrastructure-as-code experience (Terraform or equivalent).
• Experience operating self-hosted / self-managed orchestration (Prefect preferred).
• Production-grade engineering practices: logging, alerting, CI/CD, and observability.

Responsibilities

• Serve as a technical lead for Cribl's Data Engineering team and own architecture decisions for core data systems.
• Drive reliable, production-grade outcomes and shape the platform roadmap and engineering standards.
• Mentor and grow data engineers through code reviews, pairing, and design feedback.
• Prepare model-ready datasets and integrate AI/LLM workflows into production.
• Collaborate with IT/Security to ensure secure, compliant engineering practices.

Skills

Snowflake

Leadership

Python

SQL

Mentoring

ELT

AWS

IaC

Communication

Data modeling

Tools

Prefect

Airflow

Dagster

Terraform

Job description

Cribl is seeking a Staff Data Engineer to lead Cribl's Data Engineering team, shaping architecture for our data systems and pipelines. You will mentor engineers, own the Snowflake environment, and drive cost-efficient, scalable solutions across analytics, data science, and AI/agentic workflows.

You will work across the modern data stack (Snowflake, SQL, dbt) and cloud infrastructure (AWS, Terraform), delivering production-grade, secure data platforms with robust observability and governance.