Cyber AI Data Engineer Senior Consultant

Experteer Overview In this role you will design and operate governed data foundations powering cyber risk, compliance evidence, and AI-enabled cyber workflows. You’ll build scalable data pipelines and models to support risk reporting, controls monitoring, and audit-ready evidence with strong governance and privacy-by-design. You’ll bridge data engineering with GRC expectations in regulated environments and collaborate with cross-functional teams to translate requirements into robust, auditable solutions. This is a hands-on role shaping data platforms and AI-enabled capabilities for secure, compliant operations. Compensation / Benefits * Build scalable batch and stream pipelines ingesting security telemetry, control evidence, and compliance artifacts into governed data stores * Design data models for risk and controls domains including KPIs, issues, risk acceptance, and audit evidence; enable self-service analytics * Implement data quality checks, lineage, metadata, and access controls for auditability and defensible evidence * Develop AI-enabled capabilities to accelerate governance, risk, and compliance and cyber operations (e.g., evidence summarization, policy Q&A, investigation copilots) * Engineer integrations between data platforms, governance workflows, and enterprise systems using APIs, event patterns, and connectors with production runbooks in place * Collaborate 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 and/or streaming processing; cloud, containers, IaC, APIs, and secrets management * Experience implementing data governance controls including classification, encryption, least-privilege access, retention, audit logging, and lineage/metadata management * Experience supporting governance, risk, and compliance workflows including risk reporting, audit data requests, controls monitoring/testing, and integrations; familiarity with LLM-enabled applications (retrieval-augmented generation) and secure access patterns * Ability to travel 0-25% and limited immigration sponsorship may be available Key requirements *

to auditability and defensible evidence * Develop AI-enabled capabilities to accelerate governance, risk, and compliance and cyber operations (e.g., evidence summarization, policy Q&A, investigation copilots) * Engineer integrations between data platforms, governance workflows, and enterprise systems using APIs, event patterns, and connectors with production runbooks in place * Collaborate 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 and/or streaming processing; cloud, containers, IaC, APIs, and secrets management * Experience implementing data governance controls including classification, encryption, least-privilege access, retention, audit logging, and lineage/metadata management * Experience supporting aaaaaa event risk, and compliance workflows including risk reporting, audit data requests, controls monitoring/testing, and integrations; familiarity with LLM-enabled applications (retrieval-augmented generation) and secure access patterns * Ability to travel 0-25% and limited immigration sponsorship may be available Key requirements *