Security Data Solutions Engineer

Security Data Solutions Engineer

State Street's Cyber Data & Analytics (CyberDNA) team is seeking a Security Data Solutions Engineer to shape the next generation of cybersecurity data, analytics, and AI-powered solutions. Partnering closely with Global Cyber Security teams, Infrastructure Teams, and Enterprise Continuity Services, this team develops advanced data platforms, intelligent automation solutions, and engineering capabilities that enable cybersecurity teams to make faster, AI-driven decisions and strengthen the firm's ability to detect, prevent, and respond to evolving cyber threats.

Through innovation in AI, analytics, and automation, CyberDNA team plays a critical role in protecting State Street, its clients, and its partners from increasingly sophisticated global threat actors. High-quality security telemetry is the foundation for effective threat detection, incident response, threat hunting, cyber analytics, automation, risk management, and regulatory reporting.

As a Security Data Solutions Engineer, you will bridge cybersecurity, data engineering, and product management disciplines to ensure security data products deliver measurable business value. You will partner with security operations, detection engineering, platform engineering, cloud, infrastructure, and application teams to design and implement scalable security data solutions that support SIEM, AI-driven analytics, automation, and next-generation cyber defense capabilities.

This role is ideal for an experienced professional who understands both the technical requirements of security log telemetry and the business objectives of cybersecurity programs, and who can translate complex requirements into production-scale designs & data solutions.

As a Security Data Solutions Engineer, you will:

• 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.

These skills will help you succeed in this role:

• Deep understanding of SIEM platforms such as Splunk, Microsoft Sentinel, QRadar, Elastic, Chronicle, or similar technologies.
• Proven experience designing data driven solutions using technologies such as…