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# Cyber AI Data Engineer Senior Consultant

- **Company:** Deloitte T.T.L.
- **Location:** Miami, 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, Metadata, Meta-Data Management, Operational Databases, Standard Sql, Software Engineering, Workflow Management Systems, Data Classification, Retrieval-Augmented Generation, Large Language Models, Data Management, Data Pipelines
- **Published:** August 10, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/cyber-ai-data-engineer-senior-consultant-miami-fl-usa-58885361

## About the Role

assist * Engineer integrations between data platforms and enterprise systems with observability and runbooks for production support * 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 experience in data engineering and software development using Python and SQL * Experience building production data pipelines and data models; cloud platforms, containers, IaC, API usage, and secrets management * Experience implementing data governance controls including data classification, encryption, audit logging, lineage/metadata management * Experience supporting governance, risk, and compliance workflows and LLM-enabled applications (retrieval-augmented generation, vector retrieval, monitoring) * Ability to travel 0-25% * Limited immigration sponsorship may be available Key requirements *

## Description

Experteer Overview In this role you build and operate governed data foundations powering cyber risk, compliance evidence, and AI-enabled cyber workflows. You design production-grade data pipelines and models to support risk reporting, controls monitoring, and audit-ready evidence in regulated environments. You collaborate with Cyber, Risk, Compliance, Privacy, and Legal teams to translate requirements into guardrails, with opportunities to apply AI-assisted governance and evidence management 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, enabling self-service analytics and dashboards * Implement data quality, lineage, metadata, and access controls for auditability and defensible evidence * Develop AI-enabled capabilities for governance, risk, and compliance, including evidence summarization and control testing assist * Engineer integrations between data platforms and enterprise systems with observability and runbooks for production support * 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 experience in data engineering and software development using Python and SQL * Experience building production data pipelines and data models; cloud platforms, containers, IaC, API usage, and secrets management * Experience implementing data governance controls including data classification, encryption, audit logging, lineage/metadata management * Experience supporting governance, risk, and compliance workflows and LLM-enabled applications (retrieval-augmented generation, vector retrieval, monitoring) * Ability to travel 0-25% * Limited immigration sponsorship may be available Key requirements *


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