Staff Data Engineer - Cribl

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.

We’re looking for a Staff Data Engineer to serve as a technical leader on Cribl's Data Engineering team. You will set direction for the systems that power analytics, data science, and operational decision-making across the company, operating at the intersection of the modern data stack (Snowflake, SQL, dbt), software and platform engineering (AWS, infrastructure-as-code, orchestration, observability), and AI/agentic workflows.

What You Will Do

• Serve as a technical lead: Own architecture and design decisions for core data systems and drive reliable, production-grade outcomes.
• Collaborate cross-functionally: Partner with Data Analysts, SREs, IT Engineers, and business teams to clarify requirements, validate outputs, and communicate risks, tradeoffs, and timelines.
• Own orchestration: Run and evolve our self-managed Prefect deployment and its build/worker system, handling operational hygiene, upgrades, and cost tradeoffs.
• Manage Snowflake: Serve as the subject-matter expert on data modeling, performance, cost optimization, RBAC/permissions design, and governance.
• Operate data tech stack: Build, monitor, and maintain pipelines, ingestion services, integrations, and the data warehouse with strong observability.
• Advance modern data stack: Drive our dbt practice forward, including the dbt Fusion migration, and own warehouse cost/performance at scale.
• Build cloud-native services: Develop ingest/API services (event-driven ingestion, upsert patterns) and the associated AWS infrastructure-as-code (Terraform).
• Mentor and grow engineers: Provide code reviews, pairing, design feedback, and coaching to level up junior and mid-level data engineers.
• Support AI initiatives: Prepare model-ready datasets, expose features, and integrate AI/LLM workflows into production.

What We Are Looking For

• Deep Snowflake expertise: Advanced data modeling, query/warehouse performance tuning, cost management, and security/RBAC design.
• Technical leadership: Demonstrated experience as a tech lead or staff-level engineer setting direction and delivering complex systems.
• Strong fundamentals: Solid Python and SQL skills, ELT patterns, and data modeling experience.
• Orchestration experience: Hands-on operation of self-hosted orchestration platforms (Prefect strongly preferred).
• Cloud & IaC experience: Hands-on AWS and Terraform building cloud applications, APIs, and event-driven workflows.
• Production mindset: Strong background in logging, alerting, versioning, CI/CD, and secure compliance-minded engineering.
• Modern tools: Fluency building with AI-assisted development platforms such as Claude Code.

Perks & Benefits

• Competitive base salary range of $170,000—$220,000 USD
• Participation in the Cribl Corporate Bonus Program
• Comprehensive benefits package including health, dental, vision, short-term disability, and life insurance
• Paid holidays and paid time off
• Fertility treatment benefit, 401(k), and equity