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About the Role

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. This role partners closely with Global Cyber Security, Infrastructure, and Enterprise Continuity Services teams to develop advanced data platforms and automation solutions that enable faster, AI-driven decisions and strengthen the firm's ability to detect, prevent, and respond to evolving cyber threats. The 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 can translate complex requirements into production-scale designs and data solutions.

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.
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.

Requirements

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 Databricks, Snowflake, Kafka, Spark and logging agents like Cribl, OpenTelemetry, FluentBit, or equivalent platforms.
Hands-on experience & Strong understanding of data engineering concepts including ETL/ELT, streaming pipelines, data lakes, data warehouses, and data governance.
Hands-on experience developing, validating, and deploying machine learning models and scalable data pipelines within production environments.
Strong knowledge of cybersecurity telemetry, log management, event correlation, data normalization, enrichment, and detection engineering requirements.
Demonstrated product management experience with the ability to develop roadmaps, prioritize features, define business value, and manage stakeholder expectations.
Experience with cloud-native architectures across AWS, Azure, and Google Cloud environments.
Ability to analyze complex problems, evaluate trade-offs, and recommend pragmatic solutions balancing business and technical requirements.
Strong understanding of cybersecurity use cases including incident response, threat detection, threat hunting, vulnerability management, identity security, and cloud security.
Experience working within Agile, DevSecOps, and product-driven delivery models.
Exceptional communication, collaboration, and stakeholder management skills.
Ability to influence technical and business leaders across multiple organizations.
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.

Skills

SIEM platforms (Splunk, Microsoft Sentinel, QRadar, Elastic, Chronicle)
Data solutions (Databricks, Snowflake, Kafka, Spark)
Logging agents (Cribl, OpenTelemetry, FluentBit)
Data engineering (ETL/ELT, streaming pipelines, data lakes, data warehouses, data governance)
Machine learning model development
Scalable data pipelines
Cybersecurity telemetry
Log management
Event correlation
Data normalization
Data enrichment
Detection engineering
Product management (roadmaps, feature prioritization, business value definition, stakeholder management)
Cloud-native architectures (AWS, Azure, Google Cloud)
Problem analysis
Trade-off evaluation
Pragmatic solution recommendation
Cybersecurity use cases (incident response, threat detection, threat hunting, vulnerability management, identity security, cloud security)
Agile methodologies
DevSecOps
Product-driven delivery
Communication
Collaboration
Stakeholder management
Technical and business leadership influence
Python
SQL
Spark
Kafka
Databricks
Snowflake
Splunk
Cloud-native data platforms
Data modeling
Data architecture
APIs
Event streaming
Modern analytics platforms
NIST CSF
MITRE ATT&CK
CIS Controls
Zero Trust architectures
AI/ML
Security Lakehouse
Agentic AI
Security Copilot
Advanced cyber analytics

Location

Local time

Work Type

Hybrid
Full-time

Experience Level

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.

Education Level

Bachelor’s degree in computer science, Cybersecurity, Information Technology, Engineering, Data Engineering, Information Systems, or a related technical discipline.
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.

Salary/Compensations

$120,000 - $202,500 Annual

Benefits

Competitive and comprehensive benefits packages
Generous medical care, insurance and savings plans
Flexible Work Program
Wealth of development programs and educational support
Retirement savings plan (401K) with company match
Insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages
Paid-time off including vacation, sick leave, short term disability, and family care responsibilities
Access to Employee Assistance Program
Incentive compensation including eligibility for annual performance-based awards
Eligibility for certain tax advantaged savings plans
Paid volunteer days
Matching gift program
Access to employee networks

About the Company

State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world.
We are making our mark on the financial services industry through technology and product innovation.
For over two centuries, we have been helping clients safeguard and steward the investments of millions of people.
We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential.
We offer inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks.
Institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability.
We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

Equal Opportunity

State Street is an equal opportunity and affirmative action employer.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.