Cyber AI Data Engineer Senior Consultant

Deloitte T.T.L.
Charlotte, NC, United States
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Working hours
Regular working hours

Tech stack

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
+9 more
Standard Sql Software Engineering Workflow Management Systems Data Classification Large Language Models Data Management Cyber Warfare Stream Processing Data Pipelines

Job 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 *

Requirements

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 *

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