Principal Data Architect with Metadata and OPA

Q2: Does the candidate have engineering experience using RDF, OWL, SHACL, SPARQL for ontology modeling? Q3: Does the candidate have experience integrating Caelum or Amundsen push-events with DataHub’’s Actions Framework to drive real-time data quality orchestration or automated schema rollbacks? Q4: Has the candidate implemented Open Policy Agent (OPA) or Policy-as-Code architectures within a live production environment? Position Overview: We are looking for a forward-thinking Data Architect with 10+ years of experience, visionary in pioneering the engineering and orchestration of an enterprise-scale, Self-Healing Data Fabric. In this high-impact mandate, you will dismantle traditional, rigid ETL pathways and help implement an intelligent “nervous system” framework where operational metadata is continuously active, enterprise data governance is completely computational, and multi-party data virtualization relies on zero-copy architectures. Mandatory Technical: * Active Metadata Infrastructure: Demonstrated success designing closed-loop data automation pipelines (e.g., building automated engines for metadata-triggered schema self-repair and structural drift remediation). * Advanced Semantic Engineering: 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. * Policy-as-Code Compliance: Production-grade deployment experience utilizing Open Policy Agent (OPA) or equivalent zero-trust policy engines to enforce programmatic, contextual data access control layers. * Caelum or Amundsen push-events: Alongside DataHub’’s Actions Framework to drive real-time, event-based data quality orchestration and automated schema rollbacks Notes Target Educational Profiles: * Required: 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.