Senior Cyber Data Engineer: AI-Driven GRC & Security Ops

Deloitte France; San Antonio (TX); On-site; USD 105,000 - 208,000; Full time

Job summary

Deloitte invites applications for a Senior Consultant Data Engineer to help build governed data foundations powering cyber risk, compliance evidence, and AI-enabled cyber workflows. You will design production-grade pipelines and data models, ensuring governance, lineage, and audit-ready evidence across risk and controls.

The role blends modern data engineering with Governance, Risk, and Compliance expectations in regulated environments and requires 4+ years in data engineering and software

Qualifications

• 4+ years of experience in data engineering and software development using Python and SQL.
• Experience building production data pipelines and data models for batch processing, stream processing, or both, and deploying solutions using cloud platforms, containers, infrastructure as code, APIs, and secrets management.
• Experience implementing data governance controls including data classification, PII handling, least-privilege access, encryption, secrets management, retention, audit logging, and lineage or metadata management.
• Experience supporting governance, risk, and compliance workflows, including risk reporting, audit data requests, controls monitoring, controls testing, compliance metrics, governance, risk, and compliance tool integrations, and large language model-enabled applications using retrieval-augmented generation, vector or hybrid retrieval, tool or function calling, evaluation or monitoring, prompt-injection defenses, and secure access patterns.
• Ability to travel 0-25%, on average, based on the work you do and the clients and industries/sectors you serve.
• Limited immigration sponsorship may be available.

Responsibilities

• Build scalable batch and stream processing pipelines that ingest security telemetry, control evidence, and compliance artifacts into governed data stores.
• Design data models for risk and controls domains, including key risk indicators, issues and defects, risk acceptance, control testing outcomes, audit evidence, and policy exceptions, and enabling self-service analytics and dashboards.
• Implement data quality checks, lineage, metadata, and access controls to support auditability, regulatory defensibility, and repeatable evidence generation.
• Develop AI-enabled capabilities that accelerate governance, risk, and compliance and cyber operations, including evidence summarization, control testing assist, policy question-and-answer, investigation copilots, ticket triage, and exception reasoning using agentic patterns, workflow orchestration, and retrieval-augmented generation.
• Engineering integrations between data platforms, governance, risk, and compliance workflows, and enterprise systems using APIs, event patterns, and connectors, with observability and runbooks for production support.
• Partnering with Cyber, Risk, Compliance, Privacy, and Legal stakeholders to translate requirements into implementable controls and developer-ready guardrails.

Education

Bachelor's degree or equivalent practical experience

Tools

Python

SQL

Cloud platforms

Containers

Infrastructure as Code

APIs

Secrets management

Data governance

Job description

Deloitte invites applications for a Senior Consultant Data Engineer to help build governed data foundations powering cyber risk, compliance evidence, and AI-enabled cyber workflows. You will design production-grade pipelines and data models, ensuring governance, lineage, and audit-ready evidence across risk and controls.

The role blends modern data engineering with Governance, Risk, and Compliance expectations in regulated environments and requires 4+ years in data engineering and software