Cyber AI Data Engineer Senior Consultant

Deloitte T.T.L.
Boston, MA, 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) JavaScript (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Audit Trail Cyber Security Data Validation Information Engineering Data Governance Data Stores Python (Programming Language) Key Management
+17 more
Meta-Data Management Operational Databases Standard Sql Security Information and Event Management Software Engineering Data Streaming Workflow Management Systems Enterprise Software Applications Data Classification Retrieval-Augmented Generation Large Language Models Data Management Machine Learning Operations Cyber Warfare Data Pipelines Security Orchestration, Automation & Response Servicenow

Job description

Experteer Overview In this Data Engineer role, you will build and operate governed data foundations to support cyber risk, compliance evidence, and AI-enabled cyber workflows. You’ll design production-grade pipelines, data models, and governance patterns that enable risk reporting, controls monitoring, and auditable evidence. You work cross-functionally with Cyber, Risk, Compliance, Privacy, and Legal teams to translate requirements into guardrails. The opportunity focuses on scalable data platforms and agentic AI features that enhance governance and security operations. 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 (KRI, issues/defects, risk acceptance, 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 to accelerate governance, risk, compliance, and cyber operations (evidence summarization, control testing assist, policy Q&A, investigation copilots, ticket triage, exception reasoning) * Engineer integrations between data platforms, governance, risk, and compliance workflows and enterprise systems using APIs, event patterns, connectors; include observability and runbooks for production * 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 data engineering and software development using Python and SQL * Experience building production data pipelines and data models for batch or streaming processing, deploying on cloud platforms, containers, IaC, APIs, and secrets management * Experience implementing data governance controls including data classification, PII handling, least-privilege access, encryption, retention, audit logging, and lineage/metadata management * Experience supporting governance, risk, and compliance workflows (risk reporting, audit data requests, controls monitoring/testing, compliance metrics, tool integrations, and LLM-enabled apps using retrieval-augmented generation) * Ability to travel 0-25% and willingness for limited immigration sponsorship * Preferred: consulting/Big 4 experience; Java/Go/JavaScript; experience with ServiceNow GRC, Archer, OneTrust, BigID; building pipelines for SIEM, SOAR, vulnerability, identity, or cloud security posture data; operating LLM/MLOps including evaluation, monitoring, governance workflows; security certifications Key requirements *

Requirements

auditability and defensibility * Develop AI-enabled capabilities to accelerate governance, risk, compliance, and cyber operations (evidence summarization, control testing assist, policy Q&A, investigation copilots, ticket triage, exception reasoning) * Engineer integrations between data platforms, governance, risk, and compliance workflows and enterprise systems using APIs, event patterns, connectors; include observability and runbooks for production * 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 data engineering and software development using Python and SQL * Experience building production data pipelines and data models for batch or streaming processing, deploying on cloud platforms, containers, IaC, APIs, and secrets management * Experience implementing data governance controls including data classification, PII handling, least-privilege access, encryption, retention, audit logging, and lineage/metadata management * Experience supporting governance, risk, and compliance workflows (risk reporting, audit data requests, controls monitoring/testing, compliance metrics, tool integrations, and LLM-enabled apps using retrieval-augmented generation) * Ability to travel 0-25% and willingness for limited immigration sponsorship * Preferred: consulting/Big 4 experience; Java/Go/JavaScript; experience with ServiceNow GRC, Archer, OneTrust, BigID; building pipelines for SIEM, SOAR, vulnerability, identity, or cloud security posture data; operating LLM/MLOps including evaluation, monitoring, governance workflows; security certifications Key requirements *

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