Cyber AI Data Engineer Senior Consultant

Experteer Overview In this role you will build governanced data foundations powering cyber risk, compliance evidence, and AI-enabled cyber workflows. You will design production-grade pipelines and data models to support risk reporting and continuous controls monitoring, with strong governance, lineage, and auditability. You’ll bridge data engineering with GRC expectations in regulated environments and collaborate with cross-functional teams to deliver scalable, secure solutions. You will contribute to AI-enabled capabilities that enhance governance and incident response, shaping how clients manage cyber risk at scale. This is a hands-on role with impact across data platforms, security operations, and policy-al 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 and enable self-service analytics and dashboards * Implement data quality, lineage, metadata, and access controls to support auditability and regulatory defensibility * Develop AI-enabled capabilities for governance, risk, and compliance, including evidence summarization, control testing assistance, and AI copilots * Engineer integrations between data platforms and enterprise systems with observability and runbooks for production support * Partner with Cyber, Risk, Compliance, Privacy, and Legal to translate requirements into controls and guardrails Tasks * Bachelor’s degree or equivalent practical experience * 4+ years in data engineering and software development using Python and SQL * Experience building production data pipelines and data models for batch/stream processing on cloud platforms with IaC and APIs * Experience implementing data governance controls including classification, PII handling, encryption, auditing, and lineage/metadata * Experience supporting GRC workflows and large language model-enabled applications with retrieval-augmented generation * Ability to travel 0-25% Key requirements *

using data quality, lineage, metadata, and access controls to support auditability and regulatory defensibility * Develop AI-enabled capabilities for governance, risk, and compliance, including evidence summarization, control testing assistance, and AI copilots * Engineer integrations between data platforms and enterprise systems with observability and runbooks for production support * Partner with Cyber, Risk, Compliance, Privacy, and Legal to translate requirements into controls and guardrails Tasks * Bachelor’s degree or equivalent practical experience * 4+ years in data engineering and software development using Python and SQL * Experience building production data pipelines and data models for batch/stream processing on cloud platforms with IaC and APIs * Experience implementing data governance controls including classification, PII handling, encryption, auditing, and lineage/metadata * Experience supporting GRC workflows and large language model-enabled applications with aaaaaaaaaaaaaaa Data generation * Ability to travel 0-25% Key requirements *