Architect Governance for AI Readiness
Build and scale discovery capabilities and metadata frameworks
Manage metadata as a product leveraging Graph Databases or ontology management tools
Establish and maintain quality assessment frameworks, benchmarks, and automated reporting
Operate the platform as a two-sided marketplace supporting both data producers and consumers

Requirements

8+ years in data platform or infrastructure engineering
Proven track record implementing internal data policies (classification, access) and external regulations (GDPR, CCPA)
Deep knowledge of event-driven architectures, instrumentation schemas, Kafka, and real-time data pipelines
Hands-on experience with Graph Databases or Ontology management
Experience in the Salesforce ecosystem (Data360, Agentforce, Service Cloud, etc.) is a plus

Benefits

time off programs
medical, dental, vision
mental health support
paid parental leave
life and disability insurance
401(k)
employee stock purchasing program

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Graph DatabasesOntology managementEvent-driven architecturesInstrumentation schemasKafkaReal-time data pipelinesData policiesData classificationData access