# Staff Data Engineer at Cribl

- Company: Cribl
- What the company does: Cribl is built for IT and Security data and provides a unified data management platform for exploring, collecting, processing, and accessing that data at scale. Backed by Greylock, Sequoia and GV.
- Company website: https://cribl.io/
- Type: Startups (AI role)
- Level: Senior
- Location: Remote - United States
- Work setup: Remote
- Posted: 2026-08-06
- Apply by: 2026-10-08
- Apply: https://cribl.io/job-detail/?gh_jid=6135124004
- Page: https://www.1752.vc/careers/jobs/cribl-staff-data-engineer/

## About the role

Join the company that’s building the telemetry infrastructure for the AI era. At Cribl, we partner with IT and Security teams at many of the world’s biggest enterprises, including half of the Fortune 100, to bridge the gap between AI ambition and infrastructure reality. As the AI Platform for Telemetry, we give customers the choice, control, and flexibility to manage and analyze telemetry for both humans and agents, so they can build what’s next.

## What they're looking for

- Serve as a technical lead for the Data Engineering team. Own architecture and design decisions for core data systems and drive reliable, production-grade outcomes
- Partner with stakeholders across functions (Data Analysts, SREs, IT Engineers, and business teams). Clarify requirements, validate outputs, and communicate risks, tradeoffs, and timelines proactively
- Own Cribl's Snowflake environment. Serve as the subject-matter expert on data modeling, performance, and cost optimization, and own RBAC/permissions design, permissions tooling, and governance
- Advance the modern data stack. Drive our dbt practice forward, including the in-flight dbt Fusion migration, and own warehouse cost/performance at scale
- Develop cloud-native services and infrastructure on AWS. This includes our ingest/API services (event-driven ingestion, upsert patterns, package reuse) and the IaC that supports them
- Advance our infrastructure-as-code practice (Terraform or similar). Build reusable modules, clean deployment patterns, CI integration, and strong operational hygiene, including self-hosted/hybrid deployment patterns

Tags: Operations