2 months ago
Base Salary
$170k - $220k/yr
Responsibilities
- Serve as technical lead for the Data Engineering team and own architecture and design decisions for core data systems.
- Partner with analysts, SREs, IT engineers, and business stakeholders to clarify requirements, validate outputs, and communicate risks, tradeoffs, and timelines.
- Own and operate Cribl’s self-managed Prefect deployment, including its build and 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 data warehouse with strong logging, alerting, and observability.
- Advance Cribl’s dbt practice, including the dbt Fusion migration, and manage warehouse cost and performance at scale.
- Develop cloud-native AWS services and infrastructure for event-driven ingestion, upsert patterns, API services, and reusable packages.
- Advance infrastructure-as-code practices with reusable modules, deployment patterns, CI integration, and self-hosted or hybrid deployment approaches.
- Partner with the Data Engineering manager on platform strategy, engineering standards, roadmap priorities, 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 and compliance-minded engineering practices with IT and Security.
Requirements
- Deep expertise in Snowflake, including data modeling, query and warehouse performance tuning, cost management, and security/RBAC design.
- Demonstrated technical leadership as a tech lead or staff-level engineer setting direction, driving architecture, and delivering complex systems.
- Strong Python and SQL fundamentals with experience in ELT patterns and data modeling.
- Hands-on experience operating self-hosted orchestration; Prefect is strongly preferred, with Airflow or Dagster on self-managed infrastructure accepted as equivalent.
- 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.
- Experience with production-grade logging, alerting, versioning, and CI/CD practices.
- Excellent communication, cross-functional collaboration, and ability to lead through influence.
- Track record of mentoring junior and mid-level engineers through coaching, code review, pairing, and design feedback.
- Fluency with AI-assisted development platforms such as Claude Code and demonstrated ability to use them to accelerate delivery.
Benefits
- Remote-first work arrangement across time zones, with occasional duties outside standard working hours
- Health, dental, vision, short-term disability, and life insurance
- Paid holidays and paid time off
- Fertility treatment benefit
- 401(k)
- Equity
- Corporate Bonus Program
About Cribl
Cribl builds a vendor‑agnostic telemetry data platform used by IT, security, and observability teams to collect, route, shape, store, and search machine data in real time. Its products (including Cribl Stream, Edge, and Search) are sold as enterprise subscriptions and can run in cloud or self‑managed environments. Founded in 2018 and headquartered in San Francisco, the company is privately held and serves large global enterprises.