Security Data Solutions Engineer: AI-Driven Cyber Analytics

State Street; Austin (TX); 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 data platforms and AI-enabled solutions to support SIEM, analytics, and automation across on-prem, cloud, and hybrid environments.

You will partner with security operations, platform engineering, and product teams to deliver measurable business value, defining data requirements, roadmaps, and acceptance criteria for security data initiatives.

Qualifications

• Bachelor’s degree or higher in a technical field and 8+ years in cybersecurity/data engineering roles.
• Experience delivering security data products and data platforms.
• Strong experience with SIEM data onboarding, normalization, and analytics.

Responsibilities

• Serve as SME for security data solutions supporting SIEM, analytics, detection engineering, threat hunting, and AI-enabled use cases.
• Partner with stakeholders to define data requirements, roadmaps, and measurable outcomes for security data products.
• Design and implement enterprise-scale security telemetry solutions across on-prem, cloud, SaaS, and hybrid environments.
• Analyze source systems, log schemas, retention needs, and analytics requirements to define onboarding strategies.
• Design workflows for onboarding security data from apps, cloud, identities, infrastructure, and devices.
• Create scalable ingestion, routing, transformation, enrichment, normalization, and validation patterns.
• Ensure telemetry meets quality, timeliness, governance, and reliability standards.
• Collaborate to prioritize capabilities and align with cybersecurity and business objectives.
• Lead roadmaps, user stories, acceptance criteria, and milestones for security data initiatives.
• Lead cross-functional workshops to improve cybersecurity visibility and efficiency.
• Establish data quality metrics, SLAs, KPIs, and governance controls.
• Spearhead AI/automation/self-service capabilities to improve outcomes.
• Influence strategic direction of cybersecurity data platforms and analytics capabilities.
• Provide technical leadership for complex data integration and modernization initiatives.

Skills

SIEM platforms

Data engineering

Python

SQL

Cloud architectures

Education

Bachelor’s degree in Computer Science or related field

Master’s degree in related discipline

Industry certifications such as CISSP, CISM, CCSP, Splunk Certified Architect

Tools

Databricks

Snowflake

Kafka

Spark

Splunk

Microsoft Sentinel

QRadar

Elastic

Chronicle

Job description

State Street is seeking a Security Data Solutions Engineer to bridge cybersecurity, data engineering, and product management. You will design scalable data platforms and AI-enabled solutions to support SIEM, analytics, and automation across on-prem, cloud, and hybrid environments.

You will partner with security operations, platform engineering, and product teams to deliver measurable business value, defining data requirements, roadmaps, and acceptance criteria for security data initiatives.