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# Cyber AI Data Engineer Senior Consultant

- **Company:** Deloitte T.T.L.
- **Location:** Charlotte, NC, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Audit Trail, Cyber Security, Information Engineering, Data Governance, Data Infrastructure, Data Stores, Python (Programming Language), Key Management, Meta-Data Management, Operational Databases, Standard Sql, Software Engineering, Workflow Management Systems, Data Classification, 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-charlotte-nc-usa-58885327

## About the Role

policy * 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 (evidence summarization, control testing assist, policy Q&A, investigation copilots, ticket triage, exception reasoning) * Engineer integrations between data platforms, governance/workflows, and enterprise systems using APIs, event patterns, connectors; provide 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 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; deploying solutions on cloud platforms, containers, IaC, APIs, and secrets management *
Experience implementing data governance controls including data classification, PII handling, least-privilege access, encryption, retention, audit logging, and lineage/metadata management * Experience supporting governance, risk, and compliance workflows (risk reporting, audit data requests, controls monitoring/testing, compliance metrics, tool integrations) and working with LLM-enabled applications using retrieval-augmented generation * Ability to travel 0-25% * Limited immigration sponsorship may be available Key requirements *

## Description

Experteer Overview As a hands-on Data Engineer within Deloitte's Cyber team, you build governed data foundations for cyber risk, compliance evidence, and AI-enabled workflows. You'll design production-grade pipelines and data models to support risk reporting, controls monitoring, and audit-ready evidence with strong governance and privacy-by-design. You operate at the intersection of data engineering, software development, and GRC in regulated environments, collaborating with cross-functional stakeholders to translate requirements into guardrails and scalable solutions. This role offers the chance to shape AI-enabled governance and security operations at scale. Compensation / Benefits * Build scalable batch and stream data pipelines ingesting security telemetry, control evidence, and compliance artifacts into governed data stores * Design data models for risk and controls domains (KRI, issues/defects, risk acceptance, audit evidence, policy exceptions) for self-service analytics and dashboards * 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 (evidence summarization, control testing assist, policy Q&A, investigation copilots, ticket triage, exception reasoning) * Engineer integrations between data platforms, governance/workflows, and enterprise systems using APIs, event patterns, connectors; provide 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 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; deploying solutions on cloud platforms, containers, IaC, APIs, and secrets management * Experience implementing data governance controls including data classification, PII handling, least-privilege access, encryption, retention, audit logging, and lineage/metadata management * Experience supporting governance, risk, and compliance workflows (risk reporting, audit data requests, controls monitoring/testing, compliance metrics, tool integrations) and working with LLM-enabled applications using retrieval-augmented generation * Ability to travel 0-25% * Limited immigration sponsorship may be available Key requirements *


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