Job Description
📋 Description Lead data engineering initiatives and set direction for analytics, data science, and Own core data systems across Snowflake, SQL, dbt, and the modern data stack. Operate self-hosted orchestration (Prefect) and manage hybrid/self-hosted deployment patterns. Develop cloud-native services on AWS and manage IaC (Terraform) and CI/CD. Mentor junior/mid engineers and shape platform roadmaps with the Data Engineering manager. Collaborate across teams, security, and IT to maintain secure, compliant engineering practices. 🎯 Requirements Deep Snowflake expertise: data modeling, performance tuning, cost management, RBAC. Technical leadership experience (tech lead/staff engineer) and proven delivery of complex systems. Strong Python and SQL fundamentals with ELT/data modeling skills. Hands-on experience with self-hosted orchestration (Prefect preferred; Airflow/Dagster acceptable). AWS infrastructure experience and IaC (Terraform or equivalent). Background building cloud-native backends and data pipelines; production-grade practices (logging 🎁 Benefits Salary range: $170,000 — $220,000 USD. Health, dental, vision; short-term disability; life insurance; PTO/holidays. 401(k) and equity; fertility treatment benefit. Remote-friendly with global time-zone flexibility.
