Data Architect-Enterprise data strategy

About the role

We are looking for a forward-thinking Principal Data Architect with at least 10+ years of enterprise data strategy experience to pioneer the engineering and orchestration of an enterprise-scale, Self-Healing Data Fabric.

Responsibilities

• Demonstrated success designing closed-loop data automation pipelines (e.g., building automated engines for metadata-triggered schema self-repair and structural drift remediation).
• Comprehensive mastery of semantic web standards, including RDF, OWL, and SHACL, for building ontology-first structural data models alongside SPARQL for context-aware graph reasoning.
• Production-grade deployment experience utilizing Open Policy Agent (OPA) or equivalent zero-trust policy engines to enforce programmatic, contextual data access control layers.
• Experience in integrating Caelum or Amundsen push-events with DataHub's Actions Framework to drive real-time data quality orchestration and automated schema rollbacks.

Requirements

• Minimum of 10+ years of enterprise data strategy experience.
• Preferred: Master's degree or Ph.D. in Computer Science with a core focus on Formal Methods/Symbolic Logic or Computational Mathematics.

Key Focus Areas

• Active Metadata
• RDF
• OWL
• SHACL
• SPARQL
• OPA
• Caelum/Amundsen

Qualifications

• Has designed and deployed Active Metadata systems or closed-loop automation (such as automated schema repair).
• Has engineering history using RDF, OWL, SHACL, SPARQL for ontology modeling.
• Has experience in integrating Caelum or Amundsen push-events with DataHub's Actions Framework to drive real-time data quality orchestration or automated schema rollbacks.
• Has implemented Open Policy Agent (OPA) or Policy-as-Code architectures within a live production environment.

Skills

• Active Metadata
• RDF
• OWL
• SHACL
• SPARQL
• OPA
• Caelum/Amundsen

Benefits

N/A

Pay

N/A

Schedule

N/A