Description

You will lead the architecture, design, and implementation of data flow pipelines for security telemetry.

Responsibilities

• Design and implement platform-agnostic ingestion frameworks using Cribl, Apache NiFi, or Vector to handle diverse input types (syslog, Kafka, HTTP, Event Hubs, Blob Storage).
• Spearhead the creation and adoption of a schema normalization strategy leveraging OCSF, managing field mapping and validation logic.
• Design and implement custom data transformations and enrichment using Groovy, Python, or JavaScript, enforcing security controls like SSL/TLS.
• Ensure end-to-end traceability and lineage of data across the lifecycle through metadata tagging and correlation IDs.
• Coordinate with security and analytics teams to ensure pipeline logic supports threat detection and compliance requirements.

Required Skills

• 10+ years of experience in Cybersecurity.
• 5+ years experience with Cribl, Vector, or other data pipeline platforms.
• 5+ years experience scripting in Python, JavaScript, or Groovy.
• Experience ingesting and routing data to Snowflake, Splunk, ADX, or Log Analytics.
• Proficiency in designing data transformation logic, including filtering, enrichment, and format conversion (JSON, XML, Logfmt).
• Knowledge of schema normalization concepts and data governance procedures.
• Ability to implement robust security controls (SSL/TLS, client authentication).

Key Skills

Education

Any Graduate