Cyber AI Data Engineer Senior Consultant

Deloitte T.T.L.
Philadelphia, PA, United States
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Working hours
Regular working hours

Tech stack

Java (Programming Language) Artificial Intelligence Audit Trail Cyber Security Data Validation Information Engineering Data Governance Data Stores Python (Programming Language) Key Management Operational Databases Role-Based Access Control
+13 more
Standard Sql Security Information and Event Management Software Engineering Data Streaming Systems Integration Workflow Management Systems Retrieval-Augmented Generation Large Language Models Data Management Machine Learning Operations Cyber Warfare Stream Processing Servicenow

Job description

Experteer Overview In this role you design and operate governed data foundations powering cyber risk, compliance evidence, and AI-enabled cyber workflows. You will build production-grade pipelines and models that support risk reporting, controls monitoring, and audit-ready evidence with strong governance and lineage. You bridge data engineering with GRC requirements in regulated environments, contributing to scalable, auditable security operations. This is a hands-on opportunity to shape data-driven cyber defense at scale and implement AI-assisted governance. You will collaborate with cyber, risk, privacy, and legal teams and translate requirements into guardrails for developers. Compensation / Benefits * Build scalable batch and streaming data pipelines ingesting security telemetry, control evidence, and compliance artifacts into governed data stores * Design data models for risk and controls domains (KRI, issues, control testing, audit evidence, policy exceptions) and enable self-service analytics and dashboards * Implement data quality checks, lineage, metadata, and access controls to support auditability and defensibility * Develop AI-enabled capabilities for governance, risk, and cyber operations (evidence summarization, control testing assist, policy Q&A, investigation copilots, ticket triage) using agentic patterns and retrieval-augmented generation * Engineer integrations between data platforms, governance workflows, and enterprise systems with observability and runbooks for production support * Partner with Cyber, Risk, Compliance, Privacy, and Legal to translate requirements into implementable controls and guardrails Tasks * Bachelor’s degree or equivalent practical experience * 4+ years of experience in data engineering and software development using Python and SQL * Experience building production data pipelines and data models for batch/stream processing and cloud deployment * Experience implementing data governance controls (classification, PII handling, least privilège, encryption, secrets management, retention, audit logging, lineage/metadata) * Experience supporting governance, risk, and compliance workflows (risk reporting, audit data requests, controls monitoring/testing, compliance metrics) including LLM-enabled apps using retrieval-augmented generation, vector/hybrid retrieval, tool calling, evaluation/monitoring, prompt-injection defenses, and secure access patterns * Ability to travel 0-25% and availability for potential immigration sponsorship * Preferred: consulting/Big 4 experience; Java/Go/JS; integrations with ServiceNow GRC, Archer, OneTrust, BigID; pipelines for SIEM/SOAR, vulnerability, identity, or cloud security posture data; LLM/MLOps operations; security certifications Key requirements *

Requirements

in analytics and dashboards * Implement data quality checks, lineage, metadata, and access controls to support auditability and defensibility * Develop AI-enabled capabilities for governance, risk, and cyber operations (evidence summarization, control testing assist, policy Q&A, investigation copilots, ticket triage) using agentic patterns and retrieval-augmented generation * Engineer integrations between data platforms, governance workflows, and enterprise systems with observability and runbooks for production support * Partner with Cyber, Risk, Compliance, Privacy, and Legal to translate requirements into implementable controls and guardrails Tasks * Bachelor’s degree or equivalent practical experience * 4+ years of experience in data engineering and software development using Python and SQL * Experience building production data pipelines and data models for batch/stream processing and cloud deployment * Experience implementing data governance controls (classification, PII handling, least privilège, encryption, secrets management, retention, audit logging, lineage/metadata) * Experience supporting governance, risk, and compliance workflows (risk reporting, audit data requests, controls monitoring/testing, compliance metrics) including LLM-enabled apps using retrieval-augmented generation, vector/hybrid retrieval, tool calling, evaluation/monitoring, prompt-injection defenses, and secure access patterns * Ability to travel 0-25% and availability for potential immigration sponsorship * Preferred: consulting/Big 4 experience; Java/Go/JS; integrations with ServiceNow GRC, Archer, OneTrust, BigID; pipelines for SIEM/SOAR, vulnerability, identity, or cloud security posture data; LLM/MLOps operations; security certifications Key requirements *

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