AI-Powered Security Data Platform Engineer

State Street; Austin (TX); Hybrid; USD 120,000 - 203,000; Full time

Job summary

State Street’s CyberDNA team seeks a Security Data Solutions Engineer to shape cybersecurity data platforms, analytics, and AI-driven solutions. You will bridge security, data engineering, and product management to deliver scalable data products that enable faster AI-informed decisions.

You’ll partner with security ops, platform, and cloud teams to design telemetry, onboarding, and normalization strategies across on-prem, cloud, and hybrid environments, driving measurable business value.

Qualifications

• Bachelor’s degree in a technical field.
• 8+ years in cybersecurity, data engineering, AI/ML, security analytics or related fields.
• 5+ years designing and implementing enterprise-scale data products and data lakes/warehouses.
• Advanced Python/SQL skills and experience with cloud-native data platforms.

Responsibilities

• Serve as SME for security data solutions supporting SIEM, analytics, detection engineering, threat hunting, and AI-enabled use cases.
• Define data requirements, onboarding priorities, roadmaps, and measurable outcomes for security data products.
• Design and implement enterprise-scale telemetry solutions for on-prem, cloud, SaaS, and hybrid environments.
• Analyze source systems, log schemas, retention needs, and downstream analytics requirements.
• Design onboarding and normalization strategies for security data from applications, cloud platforms, identities, devices, and tools.
• Create scalable ingestion, routing, transformation, enrichment, and validation patterns for SIEM data.
• Ensure telemetry quality, timeliness, governance, and reliability meet requirements.
• Collaborate with architects, engineers, and product managers to prioritize capabilities.

Skills

SIEM platforms

Databricks

Snowflake

Kafka

Spark

AI/ML

Cloud-native architectures

OpenTelemetry

Cribl

Elasticsearch/Logging

Education

Bachelor’s degree in CS/IT/Engineering

Master’s degree in CS/Cybersecurity/Engineering

Tools

Splunk

Microsoft Sentinel

QRadar

Elastic/Chronicle

Job description

State Street’s CyberDNA team seeks a Security Data Solutions Engineer to shape cybersecurity data platforms, analytics, and AI-driven solutions. You will bridge security, data engineering, and product management to deliver scalable data products that enable faster AI-informed decisions.

You’ll partner with security ops, platform, and cloud teams to design telemetry, onboarding, and normalization strategies across on-prem, cloud, and hybrid environments, driving measurable business value.