Staff Data Engineer

Responsibilities

• Serve as technical lead for the Data Engineering team, owning architecture and design decisions for core data systems.
• Partner with Data Analysts, SREs, IT Engineers, and business teams to clarify requirements, validate outputs, and communicate risks, tradeoffs, and timelines.
• Own and operate the self-hosted Prefect orchestration platform, including its build/worker system, operational hygiene, upgrades, and cost and footprint tradeoffs.
• Own the Snowflake environment, including data modeling, performance and cost optimization, RBAC and permissions design, tooling, and governance.
• Build, operate, and monitor data pipelines, ingestion services, integrations, and the warehouse with reliable logging, alerting, and observability.
• Advance the dbt practice, including the dbt Fusion migration and warehouse cost and performance at scale.
• Develop cloud-native services and infrastructure on AWS, including event-driven ingestion, APIs, upsert patterns, and reusable packages.
• Advance infrastructure-as-code practices using Terraform or similar tools, including reusable modules, deployment patterns, CI integration, and self-hosted or hybrid deployments.
• Partner with the Data Engineering manager on technical direction, platform roadmaps, engineering standards, and architectural tradeoffs.
• Mentor and grow data engineers through code review, pairing, design feedback, and coaching.
• Support data science and agentic initiatives by preparing model-ready datasets, exposing features, and integrating AI/LLM workflows into production.
• Contribute to secure, compliance-minded engineering practices with IT and Security.

Requirements

• Deep expertise in Snowflake, including advanced data modeling, query and warehouse performance tuning, cost management, and security/RBAC design.
• Technical leadership experience setting direction, driving architecture, and delivering complex systems across a team.
• Excellent communication and cross-functional collaboration skills, with the ability to lead through influence.
• Experience mentoring junior and mid-level engineers through coaching, review, and pairing.
• Strong Python and SQL fundamentals, with solid ELT patterns and data modeling experience.
• Hands-on experience operating self-hosted or self-managed orchestration. Prefect is strongly preferred; equivalent experience running Airflow or Dagster on owned infrastructure is acceptable.
• Hands-on AWS and infrastructure-as-code experience using Terraform or an equivalent tool.
• Experience building cloud applications or backend services, including APIs, ingestion services, and event-driven workflows.
• Production-grade engineering practices, including logging, alerting, versioning, and CI/CD.
• Fluency with AI-assisted development platforms such as Claude Code and demonstrated ability to use them to accelerate delivery.

Compensation and Benefits

• Base salary range: $170,000–$220,000 USD, dependent on geographic location and the candidate’s job-related knowledge, skills, and experience.
• Employees in non-sales roles are eligible to participate in the Cribl Corporate Bonus Program.
• Benefits include health, dental, vision, short-term disability, life insurance, paid holidays, paid time off, fertility treatment benefits, 401(k), and equity.