Cybersecurity Data Engineering Leader

504 CGCG-US CG Companies Global-US; New York (NY); On-site; USD 214,000 - 342,000; Full time

Benefits offered by this job

Health benefits from day one

Company-funded retirement contribution

Flexible work options

Job summary

Capital Group is seeking a Cybersecurity Data Engineering Manager to define and execute analytics strategy, build security data pipelines, and lead a team of data scientists and engineers. The role focuses on SIEM, security telemetry, and cloud-native platforms to enable data-driven decisions.

You will collaborate with senior leadership to measure risk, drive analytics projects, and improve security operations while guiding teams through complex programs and dashboards.

Qualifications

• 12+ years in cybersecurity analytics, data science, data engineering or related fields.
• Experience leading technical teams and managing large programs with organizational impact.
• Strong knowledge of cybersecurity principles, cloud security, telemetry, risk analytics.

Responsibilities

• Define and execute cybersecurity analytics, security data engineering, and security intelligence strategy.
• Lead a team of data scientists and engineers to transform telemetry and threat data into actionable insights.
• Build and manage security data pipelines, data models, and dashboards to reduce risk.

Skills

Python

SQL

Cloud-native data platforms

Data analytics

Security analytics

Machine learning

Education

Bachelor’s degree in Cybersecurity, Computer Science, or related

Tools

Snowflake

Databricks

Cribl

Fluentd

OTEL

Job description

Capital Group is seeking a Cybersecurity Data Engineering Manager to define and execute analytics strategy, build security data pipelines, and lead a team of data scientists and engineers. The role focuses on SIEM, security telemetry, and cloud-native platforms to enable data-driven decisions.

You will collaborate with senior leadership to measure risk, drive analytics projects, and improve security operations while guiding teams through complex programs and dashboards.