Remote Staff Data Engineer — Lead Data Platform & AI Pipelines

Cribl; Nashville (TN); Remoto; USD 170.000 - 220.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health insurance

Dental insurance

Vision insurance

Short-term disability

Life insurance

Paid holidays

Paid time off

Fertility benefit

401(k)

Equity

Descrizione del lavoro

Cribl, a B2B SAAS data observability company, is seeking a Staff Data Engineer to lead Cribl's data engineering efforts. You will influence architecture across analytics, data science, and operations, working with Snowflake, SQL, dbt, AWS, and self-hosted orchestration.

You will mentor engineers, shape platform standards, advance dbt practices, own RBAC and security, and ensure scalable, cost-conscious data pipelines. This is a production-focused, leadership role in a remote-friendly team.

Competenze

• Deep expertise in Snowflake data modeling, query performance, cost management and RBAC design.
• Proven technical leadership as a tech lead or staff-level engineer.
• Excellent communication and cross-functional collaboration across data, engineering, and business teams.

Mansioni

• Serve as 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 and operate our self-hosted orchestration platform.
• Run and evolve our self-managed Prefect deployment and its build/worker system.
• Own the operational hygiene, upgrade path, and cost/footprint tradeoffs of running orchestration on a hybrid, self-hosted model.
• 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.
• Build, operate, and monitor the core data tech stack. This covers data pipelines, ingestion services, integrations, and the warehouse, ensuring data is accurate, timely, and trusted, with logging, alerting, and observability as first-class concerns.
• 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 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.
• Partner with the Data Engineering manager to set technical direction.
• Shape the platform roadmap, engineering standards, and build-vs-buy/architectural tradeoffs.
• Mentor and grow data engineers through code review, pairing, design feedback, and coaching.
• Support Cribl's growing data science and agentic initiatives.
• Prepare model-ready datasets, expose features, and integrate AI/LLM workflows into production.
• Contribute to secure, compliance-minded engineering practices in collaboration with IT/Security.

Conoscenze

Snowflake

Python

SQL

Data modeling

RBAC design

Cost optimization

Self-hosted orchestration

Airflow

Prefect

Terraform

Strumenti

Prefect

Airflow

Dagster

Terraform

Descrizione del lavoro

Cribl, a B2B SAAS data observability company, is seeking a Staff Data Engineer to lead Cribl's data engineering efforts. You will influence architecture across analytics, data science, and operations, working with Snowflake, SQL, dbt, AWS, and self-hosted orchestration.

You will mentor engineers, shape platform standards, advance dbt practices, own RBAC and security, and ensure scalable, cost-conscious data pipelines. This is a production-focused, leadership role in a remote-friendly team.