Senior Security Data & AI Solutions Engineer

State Street

Quincy (MA)

Hybrid

USD 120,000 - 203,000

Full time

3 days ago
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Job summary

State Street is seeking a Security Data Solutions Engineer to bridge cybersecurity, data engineering, and product management. You will design scalable telemetry for SIEM, AI-driven analytics, and automated security workflows across on-premises, cloud, and hybrid environments.

The role requires broad expertise in data platforms, security analytics, and cross-functional collaboration to deliver measurable business value.

Qualifications

  • 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.

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, 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

Cybersecurity data engineering
SIEM engineering
Product management
Cloud platforms (AWS, Azure, GCP)
Data governance
AI/ML in security
Agile/DevSecOps
Stakeholder management
Python
SQL

Education

Bachelor’s degree in computer science, Cybersecurity, IT, Engineering, Data Engineering, IS, or related technical discipline
Master’s degree in computer science, Cybersecurity, Engineering, Data Science, Business Administration, or related discipline

Tools

Databricks
Snowflake
Kafka
Spark
Splunk
Microsoft Sentinel
Elastic
QRadar

Job description

State Street is seeking a Security Data Solutions Engineer to bridge cybersecurity, data engineering, and product management. You will design scalable telemetry for SIEM, AI-driven analytics, and automated security workflows across on-premises, cloud, and hybrid environments.

The role requires broad expertise in data platforms, security analytics, and cross-functional collaboration to deliver measurable business value.

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