> Markdown version of [/jobs/ext/2011002-cyber-ai-data-engineer-senior-consultant](https://www.wearedevelopers.com/jobs/ext/2011002-cyber-ai-data-engineer-senior-consultant). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cyber AI Data Engineer Senior Consultant - **Company:** Deloitte T.T.L. - **Location:** Detroit, MI, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Audit Trail, Cyber Security, Information Engineering, Data Governance, Python (Programming Language), Key Management, Operational Databases, Standard Sql, Runbook, Software Engineering, Systems Integration, Workflow Management Systems, Enterprise Software Applications, Retrieval-Augmented Generation, Large Language Models, Data Management, Cyber Warfare, Stream Processing, Data Pipelines - **Published:** August 10, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/cyber-ai-data-engineer-senior-consultant-detroit-mi-usa-58885324 ## About the Role and metadata, and access controls for auditability and evidence generation * Develop AI-enabled capabilities for governance, risk, and cyber operations (evidence summarization, policy QA, investigation 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 guardrails and implementable controls 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 for batch/stream processing and deploying on cloud platforms with IaC and secrets management * Experience implementing data governance controls (classification, PII handling, least-privilege, encryption, audit logging, lineage/metadata) * Experience supporting governance, risk, and compliance workflows (risk reporting, audit data aaaa range controls monitoring/testing, compliance metrics, tool integrations) * Experience with retrieval-augmented generation and LLM-enabled applications, secure access patterns, and monitoring * Ability to travel 0-25% and potential immigration sponsorship Key requirements * broad range of benefits ## Description Experteer Overview In this role you build governed data foundations for cyber risk, compliance evidence, and AI-enabled workflows. You will design production-grade data pipelines and models that power risk reporting and audit-ready evidence, collaborating with Cyber, Risk, Privacy, and Legal teams. You'll implement data quality, lineage, and access controls to support regulatory defensibility, while advancing AI-assisted governance and security operations. This is a hands-on role that blends data engineering with GRC expectations in regulated environments. You will shape scalable data platforms and reusable governance patterns for clients' cyber and GRC programs. Compensation / Benefits * Build scalable batch and stream data pipelines ingesting security telemetry, control evidence, and compliance artifacts into governed stores * Design data models for risk and controls domains (KRI, issues, control testing, audit evidence) to enable self-service analytics * Implement data quality, lineage, metadata, and access controls for auditability and evidence generation * Develop AI-enabled capabilities for governance, risk, and cyber operations (evidence summarization, policy QA, investigation 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 guardrails and implementable controls 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 for batch/stream processing and deploying on cloud platforms with IaC and secrets management * Experience implementing data governance controls (classification, PII handling, least-privilege, encryption, audit logging, lineage/metadata) * Experience supporting governance, risk, and compliance workflows (risk reporting, audit data requests, controls monitoring/testing, compliance metrics, tool integrations) * Experience with retrieval-augmented generation and LLM-enabled applications, secure access patterns, and monitoring * Ability to travel 0-25% and potential immigration sponsorship Key requirements * broad range of benefits ## Related Videos - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [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) - [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) - [Unlocking Value from Data: The Key to Smarter Business Decisions-](https://www.wearedevelopers.com/videos/1367-unlocking-value-from-data-the-key-to-smarter-business-decisions) - [Analytics in the Age of Agentic AI: A tour of ClickHouse and Langfuse](https://www.wearedevelopers.com/videos/100240-analytics-in-the-age-of-agentic-ai-a-tour-of-clickhouse-and-langfuse) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [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) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this)