Cyber AI Data Engineer Senior Consultant

Experteer Overview In this role, you will build and operate governed data foundations to support cyber risk, compliance evidence, and AI-enabled security workflows. You will design production-grade pipelines, data models, and governance controls to enable auditability and self-service analytics. You’ll integrate data platforms with GRC workflows and partner with Cyber, Risk, Compliance, Privacy, and Legal stakeholders. This opportunity combines modern data engineering with governance expectations in regulated environments, delivering measurable impact on cyber operations and risk management. Compensation / Benefits * Build scalable batch and streaming data pipelines ingesting security telemetry and compliance artifacts into governed data stores * Design data models for risk, controls, and audit evidence to enable analytics and dashboards * Implement data quality, lineage, metadata, and access controls for regulatory defensibility * Develop AI-enabled capabilities to accelerate governance, risk, and cyber operations (e.g., evidence summarization, control testing assist, retrieval-augmented generation) * Engineer integrations between data platforms, GRC workflows, and enterprise systems with observable runbooks for production support * Collaborate with Cyber, Risk, Compliance, Privacy, and Legal stakeholders to translate requirements into guardrails and implementable controls Tasks * Bachelor or equivalent practical experience * 4+ years of data engineering and software development with Python and SQL * Experience building production data pipelines and data models for batch and/or stream processing with cloud, containers, IaC, APIs, and secrets management * Experience implementing data governance controls (classification, PII handling, least privilege, encryption, retention, audit logging, lineage/metadata) * Experience supporting governance, risk, and compliance workflows including risk reporting, audit data requests, controls monitoring/testing, and tool integrations; familiarity with LLM-enabled apps and retrieval-augmented generation * Ability to travel 0-25% * Limited immigration sponsorship may be available Key requirements *

to risk, and cyber operations (e.g., evidence summarization, control testing assist, retrieval-augmented generation) * Engineer integrations between data platforms, GRC workflows, and enterprise systems with observable runbooks for production support * Collaborate with Cyber, Risk, Compliance, Privacy, and Legal stakeholders to translate requirements into guardrails and implementable controls Tasks * Bachelor or equivalent practical experience * 4+ years of data engineering and software development with Python and SQL * Experience building production data pipelines and data models for batch and/or stream processing with cloud, containers, IaC, APIs, and secrets management * Experience implementing data governance controls (classification, PII handling, least privilege, encryption, retention, audit logging, lineage/metadata) * Experience supporting governance, risk, and compliance workflows including risk reporting, audit data requests, controls monitoring/testing, and tool integrations; aaaaa access with LLM-enabled apps and retrieval-augmented generation * Ability to travel 0-25% * Limited immigration sponsorship may be available Key requirements *