Staff Data Engineer - Enterprise Platform, AI foundations
Core
Building, scaling, and modernizing the enterprise data platform and AI-ready data foundations at petabyte scale to support executive reporting, analytics, and operational workflows.
Role type
Staff Data Engineer (Enterprise Platform & AI Foundations)
Builds
Production-grade data pipelines, trusted datasets, and scalable data solutions for an AI-native security platform.
Domain
Cybersecurity / AI / Enterprise Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Advanced SQL, Python, BigQuery, GCP, workflow orchestration (Kestra/Airflow), dimensional modeling, data quality/reliability practices, metadata management, Git/CI/CD
Preferred skills
Experience with Nexla, Workato, Fivetran, Looker, Tableau, DataHub
Technologies
BigQuery, GCP, Kestra, Nexla, DataHub, Looker, Tableau, Workato, Airflow, dbt Cloud, Fivetran
Responsibilities
Build and maintain production-grade data pipelines at petabyte scale; Improve data quality, observability, and operational reliability; Strengthen data governance and discoverability; Partner with stakeholders to deliver AI-ready data foundations; Leverage AI tools to increase engineering productivity.
Seniority
Staff, hands-on IC with broad business visibility