Cyber AI Data Engineer Senior Consultant

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Company Overview
A leading global professional services firm is seeking a Senior Consultant in Cyber AI Data Engineering to help organizations strengthen cyber risk and compliance operations. The firm delivers cutting-edge technology and advisory services, combining modern data engineering, AI-enabled workflows, and governance, risk, and compliance (GRC) expertise to enable secure, resilient, and scalable operations for enterprise clients.

Summary
The Cyber AI Data Engineer Senior Consultant will design, build, and operate governed data foundations that power AI-enabled cyber defense, risk reporting, and compliance monitoring. This role bridges advanced data engineering, software development, and GRC requirements in regulated enterprise environments, delivering production-ready pipelines, secure integrations, and AI-assisted automation.

Responsibilities

• Build scalable batch and streaming pipelines ingesting security telemetry, control evidence, and compliance artifacts into governed data stores (lakehouse/warehouse)
• Design data models for risk and control domains, enabling self-service analytics and dashboards
• Implement data quality checks, lineage, metadata, and access controls for auditability and regulatory compliance
• Develop AI-enabled capabilities such as evidence summarization, control testing assist, policy Q&A, investigation copilots, ticket triage, and exception reasoning using agentic patterns and RAG pipelines
• Engineer secure integrations between data platforms, GRC workflows, and enterprise systems, with observability and production runbooks
• Collaborate with Cyber, Risk, Compliance, Privacy, and Legal stakeholders to translate requirements into implementable controls and developer-ready guardrails
• Operate with strong engineering discipline including CI/CD, testing, monitoring, and incident response

Technologies

• Languages & Frameworks: Python, SQL, Java, Go, JavaScript; LangChain/LangGraph, CrewAI, AutoGen, Semantic Kernel
• Data & AI Platforms: Vector databases (Pinecone, Weaviate, Elastic), Knowledge Graphs, RAG pipelines, LLMOps/MLOps tooling
• Cloud & Infrastructure: AWS, Azure, GCP; Kubernetes, Docker, Terraform/IaC, GitOps CI/CD
• GRC & Security: ServiceNow GRC, Archer, OneTrust, BigID; SIEM/SOAR, vulnerability, and identity data

Qualifications

Required

• Bachelor’s degree or equivalent practical experience
• 4+ years hands-on experience in data engineering and software development (Python and SQL required)
• Experience building production data pipelines and data models (batch/streaming) with strong engineering discipline
• Experience implementing governance controls in data and AI systems: data classification, PII handling, least-privilege access, encryption, audit logging, and lineage/metadata
• Experience supporting GRC workflows and evidence needs (risk reporting, audit requests, controls monitoring/testing, compliance metrics)
• Practical experience building agentic or LLM-enabled applications in enterprise settings
• Experience with major cloud platforms and modern deployment patterns (containers, IaC, secure APIs, secrets management)
• Ability to travel 0–25% based on client/project needs

Preferred

• Consulting or Big 4 experience
• Hands-on experience with Java, Go, or JavaScript
• Experience integrating with governance/privacy platforms and building evidence pipelines
• Experience with security telemetry pipelines (SIEM/SOAR, vulnerability, identity, cloud security posture)
• Experience operationalizing LLMOps/MLOps capabilities
• Security certifications (Security+, CISM, CISA, CISSP, cloud certifications) or equivalent

Disclaimer
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