Principal Cybersecurity Data Engineer

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We are a newly formed, forward-looking Cybersecurity Data Engineering & Platform Team driving the future of our enterprise defense strategy. Our mission is to build a next-generation, centralized data lakehouse that unifies all security telemetry into a single, high-performance ecosystem. Operating across two specialized verticals—Data Logistics (ingestion, enrichment, and semantic layers) and Data Platform (foundational infrastructure, security architecture, and AI enablement)—we are designing a scalable, cloud-native foundation from the ground up. By combining cutting-edge data architecture with advanced analytics, we empower our threat hunters, data scientists, and incident responders with the real-time, trusted intelligence needed to protect the enterprise at scale.

As the Principal Cybersecurity Data Engineer, you will be the technical catalyst driving our transformation from a legacy data collection model into a mature, enterprise-grade Cybersecurity Data Organization. Sitting at the critical intersection of advanced data engineering and security operations, you will lead the Data Logistics vertical to architect the pipelines that power our next-generation security data lakehouse. We are currently undertaking a massive modernization effort—migrating off legacy infrastructure and scaling our ingestion from a handful of data sources to over 300+ complex, high-velocity security feeds. We need a dual-domain expert to turbocharge this transformation, build missing foundational capabilities from the ground up, and mentor a globally distributed team on modern data engineering standards. In this role, you aren’t just moving data; you are engineering the real-time, high-fidelity intelligence nervous system that powers our enterprise defense, threat hunting, and AI-enabled detection strategies.   What You Will Drive Enterprise-Scale Architecture: Design and implement the ingestion, enrichment, and semantic layers for our centralized data lakehouse, ensuring pipelines can handle the extreme velocity and scale required for real-time cyber defense. Massive Pipeline Scaling: Redesign our data onboarding and pipeline architecture to exponentially scale our capabilities, successfully shunting thousands of highly complex security telemetry sources from legacy systems (Splunk) into the modern lakehouse. Data Observability & Reliability: Architect and deploy robust data observability, quality, and reliability frameworks from scratch. You will ensure downstream users (SIRT, Detection Engineering) have absolute trust in the fidelity of their telemetry. Technical Leadership & Transformation: Serve as the technical anchor for the Data Logistics team. You will fill a critical operational void, mentoring engineers, instilling modern