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Security Data Solutions Engineer
State StreetCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing enterprise-scale security data solutions, including SIEM and cybersecurity analytics, while ensuring data quality and operational reliability. Proficient in collaborating with cross-functional teams to define product roadmaps and deliver aligned cybersecurity capabilities.
Highest-signal resume keywords
Enterprise-Scale Data SolutionsSIEM EngineeringPython ProgrammingData Integration ManagementCybersecurity Analytics
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Serve as subject matter expert for security data solutions supporting SIEM, security analytics, detection engineering, threat hunting, and AI-enabled cybersecurity use cases
- Define data requirements, success criteria, onboarding priorities, roadmaps, and measurable outcomes for security data products
- Design and implement enterprise-scale security telemetry solutions across on-premises, cloud, SaaS, and hybrid environments
- Analyze source systems, log schemas, metadata, retention needs, and downstream analytics requirements to define onboarding and normalization strategies
- Design workflows for onboarding 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 quality, completeness, timeliness, consistency, governance, and operational reliability requirements
- Collaborate with architects, engineers, product managers, and cybersecurity stakeholders to prioritize capabilities and deliver aligned solutions
- Define product roadmaps, feature requirements, user stories, acceptance criteria, and delivery milestones
- Lead cross-functional workshops to improve cybersecurity visibility and operational efficiency
- Establish data quality metrics, service-level objectives, operational KPIs, and governance controls
- Spearhead AI, automation, and self-service workflow capabilities
- Influence strategic direction of cybersecurity data platforms, data engineering processes, and analytics capabilities
- Provide technical leadership for complex cybersecurity data integration and modernization initiatives
Requirements
What you’ll need- 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
- Experience managing complex cybersecurity data integration programs and stakeholder requirements
- Hands-on experience with SIEM platforms and data onboarding, normalization, and operational processes
- Strong understanding of data modeling, data architecture, APIs, event streaming, cloud-native services, and modern analytics platforms
- Familiarity with 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
- Experience supporting AI/ML, Security Lakehouse, Agentic AI, Security Copilot, or advanced cyber analytics initiatives
- Work shift of 8 AM–5 PM local time with occasional Level 3 escalation resolution
- Exceptional communication, collaboration, stakeholder management, analytical, and influencing skills
Benefits
Comp & perks- Comprehensive benefits program
- Retirement savings plan (401K) with company match
- Basic life, medical, dental, vision, long-term disability, and optional additional insurance coverage
- Paid time off including vacation, sick leave, short-term disability, and family care responsibilities
- Employee Assistance Program
- Incentive compensation including eligibility for annual performance-based awards
- Certain tax-advantaged savings plans
- Flexible Work Program
- Development programs and educational support
- Paid volunteer days
- Matching gift program
- Employee networks
- Inclusive development opportunities
- Flexible work-life support
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonSQLSparkKafkaDatabricksSnowflakeSplunkData ModelingData ArchitectureEvent Streaming
Soft Skills
Exceptional CommunicationCollaborationStakeholder ManagementAnalytical SkillsInfluencing Skills
Tools & Technologies
Cloud-Native Data PlatformsSIEM PlatformsSecurity Telemetry SolutionsData LakesLakehouse
Certifications & Qualifications
CISSPCISMCCSPSplunk Certified ArchitectSplunk Certified ConsultantMicrosoft Security CertificationsAWS CertificationsDatabricks Certifications
Industry Keywords
CybersecurityNIST CSFMITRE ATT&CKCIS ControlsZero Trust Architectures