Cyber AI Data Engineer Senior Consultant

Experteer Overview In this role, you will build governed data foundations powering cyber risk, compliance evidence, and agentic AI-enabled workflows. You’ll design scalable data pipelines and models for risk and controls, ensuring governance, lineage, and audit-readiness. You’ll develop AI-enabled capabilities to accelerate governance and cyber operations, and integrate data platforms with enterprise systems. Collaborating with Cyber, Risk, Compliance, Privacy, and Legal teams, you translate requirements into guardrails and reusable data solutions. This is a hands-on, impact-focused role in a leading cyber consulting team. Compensation / Benefits * Build scalable batch and streaming data pipelines ingesting security telemetry and compliance artifacts into governed data stores * Model risk and controls data structures including indicators, issues, risk acceptance, audit evidence, and policy exceptions for self-service analytics * Implement data quality checks, lineage, metadata, and access controls to support auditability and regulatory defensibility * Develop AI-enabled capabilities to accelerate governance, risk, compliance and cyber operations (e.g., evidence summarization, QA, copilots, ticket triage) * Engineer integrations between data platforms, governance workflows, and enterprise systems with observability and runbooks * Collaborate with Cyber, Risk, Compliance, Privacy, and Legal to translate requirements into implementable controls and guardrails Tasks * 4+ years of experience in data engineering and software development using Python and SQL * Experience building production data pipelines and data models for batch and/or stream processing and deploying in cloud, containers, IaC, APIs, and secrets management * Experience implementing data governance controls including classification, PII handling, least-privilege, encryption, retention, audit logging, and metadata/lineage management * Experience supporting governance, risk, and compliance workflows including risk reporting, audit data requests, controls monitoring/testing, and tool integrations, plus exposure to retrieval-augmented generation and related LLM-enabled applications * Ability to travel 0-25% and eligibility for sponsorship as applicable * Unknown optional: Consulting/Big 4 experience; Java/Go/JavaScript; tools like ServiceNow GRC, Archer, OneTrust, BigID; security operations pipelines; ML/Ops capabilities Key requirements *

and controls to support auditability and regulatory defensibility * Develop AI-enabled capabilities to accelerate governance, risk, compliance and cyber operations (e.g., evidence summarization, QA, copilots, ticket triage) * Engineer integrations between data platforms, governance workflows, and enterprise systems with observability and runbooks * Collaborate with Cyber, Risk, Compliance, Privacy, and Legal to translate requirements into implementable controls and guardrails Tasks * 4+ years of experience in data engineering and software development using Python and SQL * Experience building production data pipelines and data models for batch and/or stream processing and deploying in cloud, containers, IaC, APIs, and secrets management * Experience implementing data governance controls including classification, PII handling, least-privilege, encryption, retention, audit logging, and metadata/lineage management * Experience supporting governance, risk, and compliance workflows including risk reporting, audit data requests, controls monitoring/testing, and tool integrations, plus exposure to retrieval-augmented generation and related LLM-enabled applications * Ability to travel 0-25% and eligibility for sponsorship as applicable * Unknown optional: Consulting/Big 4 experience; Java/Go/JavaScript; tools like ServiceNow GRC, Archer, OneTrust, BigID; security operations pipelines; ML/Ops capabilities Key requirements *