AI-Driven Security Data Solutions Engineer

State Street; Irvine (CA); Hybrid; USD 120,000 - 203,000; Full time

Job summary

State Street is seeking a Security Data Solutions Engineer to bridge cybersecurity, data engineering, and product management. You will design scalable security telemetry and data products across on‑prem, cloud, and hybrid environments, enabling AI‑driven analytics, automation, and improved threat detection.

The role emphasizes collaboration with security operations, platform teams, and product managers to deliver measurable business value and strong data governance.

Qualifications

• Bachelor’s degree in a technical field or higher.
• 8+ years of experience in cybersecurity, data engineering, AI/ML, or related fields.
• 5+ years designing enterprise-scale data products and data lakes/warehouses.
• Advanced Python, SQL, Spark, Kafka, Databricks, Snowflake, and cloud-native data platforms.

Responsibilities

• Serve as SME for security data solutions supporting SIEM, Analytics, Detection, and AI use cases.
• Collaborate with stakeholders to define data requirements, success criteria, and roadmaps.
• Design enterprise-scale telemetry solutions for on-prem, cloud, SaaS, and hybrid environments.
• Analyze source systems, schemas, retention, and downstream analytics needs.
• Define onboarding, normalization, and enrichment patterns for security data.
• Lead workshops to improve cybersecurity visibility and operational efficiency.
• Spearhead AI, automation, and self-service workflow capabilities.

Skills

SIEM platforms

Splunk

Databricks

Snowflake

Kafka

Python

SQL

Cloud platforms

Data pipelines

APIs

Education

Bachelor’s degree in Computer Science or related field

Master’s degree in Computer Science or related field

Tools

Databricks

Snowflake

Kafka

Spark

Splunk

OpenTelemetry

FluentBit

Job description

State Street is seeking a Security Data Solutions Engineer to bridge cybersecurity, data engineering, and product management. You will design scalable security telemetry and data products across on‑prem, cloud, and hybrid environments, enabling AI‑driven analytics, automation, and improved threat detection.

The role emphasizes collaboration with security operations, platform teams, and product managers to deliver measurable business value and strong data governance.