Security Data Engineer

NVIDIA is redefining the future of computing! This role helps design and operate the security data platform that transforms signals from endpoint, identity, network, and cloud environments into standardized, high quality datasets.

Responsibilities:

• Design and operate telemetry ingestion pipelines that collect and process data from endpoint, identity, network, cloud, and other enterprise security sources
• Normalize and enrich telemetry into structured datasets using standardized schemas and entity models so signals from different systems can be correlated consistently
• Build and maintain data models and graph ready structures that connect users, devices, identities, and activity across the security ecosystem
• Provide governed access to security datasets through APIs, query interfaces, and streaming pipelines used by Detection, Automation, AI, and Analytics teams
• Define lifecycle and retention strategies across hot, cold, and archive storage tiers to balance performance, scalability, and cost
• Work closely with enterprise data engineering and security engineering teams to align on architecture, data fabric strategy, and shared platform capabilities
• Maintain clear documentation of data sources, schemas, and entity definitions so teams across NVIDIA can reliably build on the platform

Requirements:

• Bachelor's degree in Computer Science, Engineering, Cybersecurity, Data Engineering, or a related technical field, or equivalent experience
• 5+ years of experience designing and operating large scale data pipelines in a security or enterprise data environment
• Strong understanding of security telemetry including endpoint, identity, network, cloud, and email data sources
• Experience working with modern data platforms and ingestion technologies such as Databricks, Snowflake, Kafka, Spark, Flink, or similar systems
• Hands on experience with data normalization frameworks or standards such as OCSF, ECS, or equivalent approaches
• Understanding of data access patterns including APIs, query layers, views, and role based access control
• Ability to collaborate across teams and clearly document complex data systems for a broad technical audience
• Experience working with security platforms such as CrowdStrike NG SIEM, Splunk, or Microsoft Sentinel
• Familiarity with SIEM data models, detection engineering workflows, and SOAR integrations
• Experience with graph databases or entity relationship modeling for security data