> Markdown version of [/jobs/ext/2014392-cyber-ai-data-engineer-senior-consultant](https://www.wearedevelopers.com/jobs/ext/2014392-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:** Philadelphia, PA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Audit Trail, Cyber Security, Data Validation, Information Engineering, Data Governance, Data Stores, Python (Programming Language), Key Management, Operational Databases, Role-Based Access Control, Standard Sql, Security Information and Event Management, Software Engineering, Data Streaming, Systems Integration, Workflow Management Systems, Retrieval-Augmented Generation, Large Language Models, Data Management, Machine Learning Operations, Cyber Warfare, Stream Processing, Servicenow
- **Published:** August 10, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/cyber-ai-data-engineer-senior-consultant-philadelphia-pa-usa-58885362

## About the Role

in analytics and dashboards * Implement data quality checks, lineage, metadata, and access controls to support auditability and defensibility * Develop AI-enabled capabilities for governance, risk, and cyber operations (evidence summarization, control testing assist, policy Q&A, investigation copilots, ticket triage) using agentic patterns and retrieval-augmented generation * Engineer integrations between data platforms, governance workflows, and enterprise systems with observability and runbooks for production support * Partner with Cyber, Risk, Compliance, Privacy, and Legal to translate requirements into implementable controls and guardrails Tasks * Bachelor's degree or equivalent practical experience * 4+ years of experience in data engineering and software development using Python and SQL * Experience building production data pipelines and data models for batch/stream processing and cloud deployment * Experience implementing data governance controls (classification, PII handling, least
privilège, encryption, secrets management, retention, audit logging, lineage/metadata) * Experience supporting governance, risk, and compliance workflows (risk reporting, audit data requests, controls monitoring/testing, compliance metrics) including LLM-enabled apps using retrieval-augmented generation, vector/hybrid retrieval, tool calling, evaluation/monitoring, prompt-injection defenses, and secure access patterns * Ability to travel 0-25% and availability for potential immigration sponsorship * Preferred: consulting/Big 4 experience; Java/Go/JS; integrations with ServiceNow GRC, Archer, OneTrust, BigID; pipelines for SIEM/SOAR, vulnerability, identity, or cloud security posture data; LLM/MLOps operations; security certifications Key requirements *

## Description

Experteer Overview In this role you design and operate governed data foundations powering cyber risk, compliance evidence, and AI-enabled cyber workflows. You will build production-grade pipelines and models that support risk reporting, controls monitoring, and audit-ready evidence with strong governance and lineage. You bridge data engineering with GRC requirements in regulated environments, contributing to scalable, auditable security operations. This is a hands-on opportunity to shape data-driven cyber defense at scale and implement AI-assisted governance. You will collaborate with cyber, risk, privacy, and legal teams and translate requirements into guardrails for developers. 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 (KRI, issues, control testing, audit evidence, policy exceptions) and enable self-service analytics and dashboards * Implement data quality checks, lineage, metadata, and access controls to support auditability and defensibility * Develop AI-enabled capabilities for governance, risk, and cyber operations (evidence summarization, control testing assist, policy Q&A, investigation copilots, ticket triage) using agentic patterns and retrieval-augmented generation * Engineer integrations between data platforms, governance workflows, and enterprise systems with observability and runbooks for production support * Partner with Cyber, Risk, Compliance, Privacy, and Legal to translate requirements into implementable controls and guardrails Tasks * Bachelor's degree or equivalent practical experience * 4+ years of experience in data engineering and software development using Python and SQL * Experience building production data pipelines and data models for batch/stream processing and cloud deployment * Experience implementing data governance controls (classification, PII handling, least privilège, encryption, secrets management, retention, audit logging, lineage/metadata) * Experience supporting governance, risk, and compliance workflows (risk reporting, audit data requests, controls monitoring/testing, compliance metrics) including LLM-enabled apps using retrieval-augmented generation, vector/hybrid retrieval, tool calling, evaluation/monitoring, prompt-injection defenses, and secure access patterns * Ability to travel 0-25% and availability for potential immigration sponsorship * Preferred: consulting/Big 4 experience; Java/Go/JS; integrations with ServiceNow GRC, Archer, OneTrust, BigID; pipelines for SIEM/SOAR, vulnerability, identity, or cloud security posture data; LLM/MLOps operations; security certifications Key requirements *


## Related Videos

- [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1520-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases)
- [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)
- [Applying Agile Principles to Incident Management ](https://www.wearedevelopers.com/videos/101-applying-agile-principles-to-incident-management)
- [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou)
- [Giving the individual control of their data: Open Source Decentralized Web Nodes](https://www.wearedevelopers.com/videos/1100-giving-the-individual-control-of-their-data-open-source-decentralized-web-nodes)
- [No Keys for the Robot: GitOps as the Control Plane for Autonomous Agents](https://www.wearedevelopers.com/videos/100095-no-keys-for-the-robot-gitops-as-the-control-plane-for-autonomous-agents)

## 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)
- [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)
- [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)
- [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)