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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cyber AI Data Engineer Senior Consultant - **Company:** Deloitte T.T.L. - **Location:** Gilbert, AZ, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Audit Trail, Cyber Security, Information Engineering, Data Governance, Data Structures, Data Stores, Data Systems, Python (Programming Language), Key Management, Operational Databases, Standard Sql, Runbook, Software Engineering, Data Streaming, Workflow Management Systems, Enterprise Software Applications, Retrieval-Augmented Generation, Large Language Models, Model Validation, Data Management, Cyber Warfare, Stream Processing, Data Pipelines, Servicenow - **Published:** August 10, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/cyber-ai-data-engineer-senior-consultant-gilbert-az-usa-58885323 ## About the Role 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 * ## Description 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 * ## Related Videos - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Applying Agile Principles to Incident Management ](https://www.wearedevelopers.com/videos/101-applying-agile-principles-to-incident-management) - [Technical Documentation - How Can I Write Them Better and Why Should I Care?](https://www.wearedevelopers.com/videos/681-technical-documentation-how-can-i-write-them-better-and-why-should-i-care) - [Resilient by Design: Building Robust Architectures in High-Stakes Financial Systems](https://www.wearedevelopers.com/videos/2106-resilient-by-design-building-robust-architectures-in-high-stakes-financial-systems) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [AI in Production: applied AI & enterprise use cases](https://www.wearedevelopers.com/videos/100130-ai-in-production-applied-ai-enterprise-use-cases) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)