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State Street

Data Architect & AI Engineering Lead, Cybersecurity - Assistant Vice President

Hiring

State Street

Bangalore · IndiaFull-time· 11d ago

Experience

15–20 yrs

Work Type

Full-time

Domain

Cybersecurity, Data engineering

Leadership

Required

Core SkillsMust Have
PythonSQLPySparkDatabricksETL/ELTdistributed processingdata modelingdata qualitymonitoringdata lineageLakehouse architectureAWSCI/CDversion controltestingMLOpsmachine learningstatistical modelingfeature engineeringanomaly detectionmodel evaluationLLMsRAGembeddingsvector searchNLPgraph analyticsPower BI
What You'll Do
1Design and deliver scalable data pipelines, Lakehouse architectures, data models, and analytics-ready datasets using Python, SQL, PySpark, Databricks, and cloud technologies
2Build reusable frameworks for data ingestion, transformation, aggregation, data quality, reconciliation, orchestration, lineage, and observability
3Develop statistical, machine-learning, and AI models to identify patterns, anomalies, relationships, threats, and risk signals across cybersecurity datasets
4Apply ML, graph analytics, NLP, and Generative AI to improve threat detection, vulnerability prioritization, incident enrichment, cyber-risk scoring, and security posture insights
5Develop AI solutions leveraging LLMs, embeddings, semantic/vector search, RAG, and intelligent workflows to summarize, classify, correlate, and enrich cybersecurity information
6Operationalize data science and AI solutions through feature pipelines, MLOps, CI/CD, automated testing, model monitoring, and production workflows
7Engineer and analyze high-volume structured, semi-structured, time-series, graph, and unstructured security data across cloud and enterprise platforms
8Build Power BI dashboards and self-service analytical products to communicate security trends, operational performance, risk insights, and model outcomes
9Establish strong engineering and responsible AI practices covering performance, scalability, resiliency, explainability, security, privacy, lineage, governance, and auditability
10Partner with cybersecurity, data and platform engineering, architecture, governance, risk, and product teams to translate complex security challenges into scalable data and AI solutions
11Evaluate emerging data engineering, ML, GenAI, graph, cloud, SIEM/SOAR, and cybersecurity technologies and drive their practical adoption
Requirements
EducationBachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Cybersecurity, Information Systems, or equivalent experience
Nice to HaveOptional
Delta LakeMedallion architectureprompt engineeringknowledge graphsentity resolutionAPIsSIEM datathreat intelligence
Domain
CybersecurityData engineeringData scienceAI/GenAIFinancial services
Industry
Financial servicesRegulated industriesEnterprise environments
LeadershipMentoring or team leadership preferred