AI-Driven Security Data Solutions Engineer (Hybrid)

State Street; Boston (MA); Hybrid; USD 120,000 - 203,000; Full time

Job summary

State Street’s Cyber DNA team seeks a Security Data Solutions Engineer to design and deliver scalable data platforms for cybersecurity analytics and AI-driven solutions. You will collaborate with security operations, platform engineering, cloud, and product teams to enable SIEM, detection engineering, and automated defense capabilities.

You will translate complex security data requirements into production-scale data designs, drive data onboarding, governance, and validation across on-prem,

Qualifications

• Bachelor’s degree or higher in a technical field.
• 8+ years of experience in cybersecurity, data engineering, AI/ML or related fields.
• 5+ years designing and implementing enterprise-scale data products and data lakes/warehouses.

Responsibilities

• Serve as SME for security data solutions supporting SIEM, analytics, detection engineering and AI-enabled use cases.
• Define data requirements, roadmaps, and measurable outcomes for security data products.
• Design enterprise-scale security telemetry solutions for on-prem, cloud, SaaS, and hybrid environments.
• Analyze source systems, log schemas, retention needs, and downstream analytics requirements.

Skills

SIEM platforms

Cloud data platforms

Python

SQL

Databricks

Snowflake

Kafka

Spark

Data pipelines

Education

Bachelor’s degree in computer science, cybersecurity or related

Master’s degree in computer science, cybersecurity or related

Tools

Cribl

OpenTelemetry

FluentBit

Job description

State Street’s Cyber DNA team seeks a Security Data Solutions Engineer to design and deliver scalable data platforms for cybersecurity analytics and AI-driven solutions. You will collaborate with security operations, platform engineering, cloud, and product teams to enable SIEM, detection engineering, and automated defense capabilities.

You will translate complex security data requirements into production-scale data designs, drive data onboarding, governance, and validation across on-prem,