Security Data Architect

Role: Security Data Architect

Duration: 12 Months

Location: Remote

Overview

We are seeking a Security Data Architect with strong Cribl knowledge to drive the design and evolution of advanced securitytelemetry data ecosystems. In this role, you will define the endtoend architecture and engineering strategy required to orchestrate, normalize, and transform largescale, highly diverse security data flows.

You will guide the modernization of ingestion patterns across 100+ legacy and emerging Cybersecurity data sources, ensuring resilient, secure, and highfidelity movement of telemetry between platforms. As a principal contributor to our SIEM modernization initiative, you will architect and oversee data pipelines built on Cribl, Vector, and other platforms.

Work Required

• Architect scalable, reusable securitytelemetry pipelines using Cribl, NiFi, Vector, and related platforms, ensuring consistent ingestion across 100+ diverse data sources.

• Develop platformagnostic ingestion frameworks and modular patterns supporting multiple protocols and destinations (syslog, HTTP, Event Hubs, Snowflake, ADX, etc.).

• Define multiyear ingestion and transformation roadmaps, including modernization phases, platform standards, and scalable architectural guardrails.

• Set enterprise governance models for schema evolution, onboarding new data sources, transformation quality, and versioning.

• Drive platform consolidation and rationalization, identifying redundant ingestion patterns and unifying them into enterprisewide frameworks.

• Create reference architectures, reusable design patterns, and standardized pipeline blueprints adopted by all engineering teams.

• Provide technical mentorship to senior engineers, guiding architectural thinking and deepsystem design approaches.

• Influence crossorganizational strategy, aligning ingestion and transformation capabilities with threatdetection, compliance, SIEM modernization, and dataanalytics roadmaps.

• Evaluate emerging technologies, assessing fit, integration patterns, and longterm viability for enterprise-scale telemetry processing.

• Lead adoption of OCSFbased normalization, including field mapping, schema validation, and portable transformation templates.

• Implement advanced data transformation logic (filtering, enrichment, routing, format conversion) using Groovy, Python, or JavaScript while enforcing strict governance and security controls.

• Ensure complete data lineage and traceability across ingestion, transformation, and storage layers, including metadata tagging and auditready tracking.

• Integrate pipelinelevel observability: health monitoring, error handling, transformation failure alerts, and anomaly detection.

• Validate highfidelity data delivery to analytics and SIEM platforms, minimizing data loss, duplication, and drift.

• Lead crossfunctional design sessions, technology evaluations, and architecture reviews for largescale security telemetry ecosystems.

• Maintain centralized documentation for ingestion patterns, schema definitions, transformations, and governance standards.

Experience Required:

• 10+ Years of experience working in Cybersecurity

• 5+ Years of experience on CRIBL

• Cribl Certified Engineer (Architect desired)

• 5+ Years of experience on JavaScript, python, or other scripting language