Cyber AI Data Engineer Senior Consultant

This role focuses on building data foundations and pipelines for cyber risk, compliance, and AI-enabled cyber defense. It involves designing and implementing data models, quality checks, and governance controls, as well as developing AI capabilities for GRC and security operations using agentic patterns and RAG. The role requires experience in data engineering, software development, and cloud platforms, with a strong emphasis on governance and compliance in regulated environments.

What you'd actually do

  1. Building scalable batch and stream processing pipelines that ingest security telemetry, control evidence, and compliance artifacts into governed data stores.
  2. Designing 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.
  3. Implementing data quality checks, lineage, metadata, and access controls to support auditability, regulatory defensibility, and repeatable evidence generation.
  4. Developing 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.
  5. Engineering integrations between data platforms, governance, risk, and compliance workflows, and enterprise systems using application programming interfaces, event patterns, and connectors, with observability and runbooks for production support.

Skills

Required

  • Python
  • SQL
  • data engineering
  • software development
  • production data pipelines
  • data models
  • batch processing
  • stream processing
  • cloud platforms
  • containers
  • infrastructure as code
  • application programming interfaces
  • secrets management
  • data governance controls
  • data classification
  • personally identifiable information handling
  • least-privilege access
  • encryption
  • retention
  • audit logging
  • lineage or metadata management

Nice to have

  • agentic patterns
  • workflow orchestration
  • retrieval-augmented generation
  • observability
  • runbooks
  • cyber risk
  • compliance evidence
  • AI-enabled cyber workflows
  • AI-assisted security operations

What the JD emphasized

  • governed data foundations
  • governance, Risk, and Compliance (GRC)
  • regulated enterprise environments
  • governed data stores
  • data governance controls
  • governance, risk, and compliance
  • governance patterns

Other signals

  • AI-enabled cyber workflows
  • agentic AI-enabled cyber workflows
  • AI-assisted security operations
  • agentic patterns
  • retrieval-augmented generation