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# Cyber AI Data Engineer Senior Consultant

- **Company:** Deloitte T.T.L.
- **Location:** Lake Mary, FL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Audit Trail, Information Engineering, Data Governance, Data Stores, Python (Programming Language), Key Management, Operational Databases, Standard Sql, Software Engineering, Data Streaming, 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-lake-mary-fl-usa-58885328

## About the Role

triage, lineage, metadata, and access controls to support auditability and repeatable evidence generation. * Develop AI-enabled features 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 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, deployed on cloud platforms with containers, IaC, APIs, and secrets management * Experience implementing data governance controls (classification, PII handling,
least-privilege access, encryption, audit logging, lineage/metadata) * Experience supporting governance, risk, and compliance workflows (risk reporting, audit data requests, controls monitoring/testing, compliance metrics, tool integrations, and LLM-enabled applications with retrieval-augmented generation and secure access patterns) * Ability to travel 0-25%; known to be available for sponsorship potential Key requirements *

## Description

Experteer Overview In this role you will build and operate governed data foundations for cyber risk, compliance evidence, and AI-enabled workflows. You will design production-grade data pipelines, data models, and governance controls to support risk reporting and audit-ready evidence, bridging data engineering with governance and compliance in regulated environments. You'll develop AI-enabled capabilities to accelerate governance, risk, and cyber operations, while collaborating with cross-functional stakeholders. This opportunity lets you shape scalable data platforms and trusted analytics for complex cyber risk programs. 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, including KPIs, issues, risk acceptance, audit evidence, and policy exceptions; enable self-service analytics and dashboards. * Implement data quality, lineage, metadata, and access controls to support auditability and repeatable evidence generation. * Develop AI-enabled features 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 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, deployed on cloud platforms with containers, IaC, APIs, and secrets management * Experience implementing data governance controls (classification, PII handling, least-privilege access, encryption, audit logging, lineage/metadata) * Experience supporting governance, risk, and compliance workflows (risk reporting, audit data requests, controls monitoring/testing, compliance metrics, tool integrations, and LLM-enabled applications with retrieval-augmented generation and secure access patterns) * Ability to travel 0-25%; known to be available for sponsorship potential Key requirements *


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