Security Data Engineer

This role is ideal for someone who enjoys working across high-volume telemetry sources, optimizing data workflows, and solving schema drift challenges in real-world distributed environments. You’ll be part of the Security Data Platform and ML Engineering team, helping to onboard and normalize security data that powers analytics, detection, and ML workflows across Adobe. As a Data Pipeline Engineer you will design and build scalable batch and streaming data pipelines for ingesting telemetry, log, and event data, develop and maintain orchestration workflows using tools like Apache Airflow or similar schedulers and use tools like Cribl, Logstash, Fluentd, or similar for data routing, filtering, and enrichment at scale. In addition, you would be expected to onboard new data sources, build connectors (API/Kafka/file-based), and normalize security-related datasets. You will also monitor and manage schema drift across changing source systems and formats.