Cyber Data Solutions Engineer - AI-Driven Security

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

Benefits offered by this job

Flexible Work Program

Employee networks

Job summary

State Street is seeking a Security Data Solutions Engineer to shape next-gen cybersecurity data platforms and AI-powered analytics. You will partner with security operations, cloud, and product teams to design scalable data solutions for SIEM, analytics, and automation.

The role blends cybersecurity data engineering with product management, emphasizing data onboarding, governance, and measurable business value across on-prem, cloud, and hybrid environments.

Qualifications

• Bachelor’s degree in computer science, Cybersecurity, Information Technology, Engineering, Data Engineering, Information Systems, or a related technical discipline.
• 8+ years of experience in cybersecurity, data engineering, AI/ML, security analytics, SIEM engineering, product design, or related technical fields.
• 5+ years of hands-on experience designing and implementing enterprise-scale data products, data lakes, Lakehouse and data warehouse solutions.
• Advanced expertise in Python, SQL, Spark, Kafka, Databricks, Snowflake, Splunk and cloud-native data platforms to design, build, and optimize scalable batch and real-time data pipelines.
• Demonstrated experience managing complex cybersecurity data integration programs and stakeholder requirements.
• Hands-on experience with SIEM platforms and the data onboarding, normalization, and operational processes required to support them.
• Strong understanding of data modeling, data architecture, APIs, event streaming, cloud-native services, and modern analytics platforms.
• Familiarity with cybersecurity frameworks including NIST CSF, MITRE ATT&CK, CIS Controls, and Zero Trust architectures.
• Master’s degree in computer science, Cybersecurity, Engineering, Data Science, Business Administration, or related discipline.
• Industry certifications such as CISSP, CISM, CCSP, Splunk Certified Architect, Splunk Certified Consultant, Microsoft Security Certifications, AWS Certifications, Databricks Certifications, or equivalent.
• Experience delivering cybersecurity data products within highly regulated industries such as financial services, healthcare, or critical infrastructure.
• Experience supporting AI/ML, Security Lakehouse, Agentic AI, Security Copilot, or advanced cyber analytics initiatives.

Responsibilities

• Serve as the subject matter expert for security data solutions supporting SIEM, Security Analytics, Detection Engineering, Threat Hunting, and AI-enabled cybersecurity use cases.
• Partner with cybersecurity stakeholders to define data requirements, success criteria, onboarding priorities, roadmaps, and measurable outcomes for security data products.
• Design and implement enterprise-scale security telemetry solutions supporting on-premises, cloud, SaaS, and hybrid environments.
• Analyze source systems, log schemas, metadata requirements, retention needs, and downstream analytics requirements to define onboarding and normalization strategies.
• Design optimal workflows for onboarding of security data from applications, cloud platforms, identity systems, infrastructure, network devices, databases, endpoints, and security tools.
• Design scalable ingestion, routing, transformation, enrichment, normalization, and validation patterns for SIEM and cybersecurity data platforms.
• Ensure security telemetry meets requirements for quality, completeness, timeliness, consistency, governance, and operational reliability.
• Collaborate with architects, engineers, and product managers to prioritize capabilities and deliver solutions that align with cybersecurity and business objectives.
• Working with Product managers, define product roadmaps, feature requirements, user stories, acceptance criteria, and delivery milestones for security data initiatives.
• Lead cross-functional workshops with business and technical stakeholders to identify opportunities for improving cybersecurity visibility and operational efficiency.
• Establish data quality metrics, service-level objectives, operational KPIs, data governance and process governance controls for security data products
• Spearhead the implementation of AI, automation, and self-service workflow capabilities that improve cybersecurity outcomes and reduce operational effort.
• Influence strategic direction of cybersecurity data platforms, data engineering processes, and analytics capabilities.
• Provide technical leadership for complex cybersecurity data integration and modernization initiatives.

Skills

SIEM platforms

Databricks

Snowflake

Kafka

Spark

Cribl

OpenTelemetry

FluentBit

ETL/ELT

Cloud platforms (AWS/Azure/GCP)

Python

SQL

Data pipelines

Education

Bachelor’s degree in computer science, Cybersecurity, IT, Engineering

Master’s degree in related discipline

Industry certifications such as CISSP, CISM, CCSP, Splunk Certified Architect/Consultant, Microsoft Security Certifications

Tools

Splunk

Microsoft Sentinel

QRadar

Elastic

Chronicle

Cribl

OpenTelemetry

FluentBit

Databricks

Snowflake

Kafka

Spark

Job description

State Street is seeking a Security Data Solutions Engineer to shape next-gen cybersecurity data platforms and AI-powered analytics. You will partner with security operations, cloud, and product teams to design scalable data solutions for SIEM, analytics, and automation.

The role blends cybersecurity data engineering with product management, emphasizing data onboarding, governance, and measurable business value across on-prem, cloud, and hybrid environments.