We are looking for a forward-thinking Data Architect with 10 years of experience who is visionary to pioneer 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.
Responsibilities:
Design and implement closed-loop data automation pipelines for active metadata infrastructure.
Develop ontology-first structural data models using advanced semantic engineering.
Deploy policy-as-code compliance using Open Policy Agent (OPA) or equivalent zero-trust policy engines.
Utilize Caelum or Amundsen push-events alongside DataHub's Actions Framework for real-time, event-based data quality orchestration.
Requirements:
Minimum of 10 years of enterprise data strategy experience.
Master's degree or Ph.D. in Computer Science with a core focus on Formal Methods/Symbolic Logic or Computational Mathematics is preferred.
Required Skills:
Active Metadata Infrastructure: Experience in designing automated engines for metadata-triggered schema self-repair and structural drift remediation.
Advanced Semantic Engineering: Mastery of semantic web standards, including RDF, OWL, and SHACL, and proficiency in SPARQL for context-aware graph reasoning.
Policy-as-Code Compliance: Production-grade deployment experience with Open Policy Agent (OPA) or equivalent zero-trust policy engines.
Experience with Caelum or Amundsen push-events and DataHub's Actions Framework.
Preferred Skills:
Experience in Active Metadata, RDF, OWL, SHACL, SPARQL, OPA, Caelum, and Amundsen.
Benefits:
Details regarding benefits will be provided during the interview process.