Principal Data Architect

Job Description

We are looking for a forward thinking 10+ Years Data Architect, 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.

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& Actions Framework to drive real-time, event-based data quality orchestration and automated schema rollbacks

Target Educational Profiles:

• Required: Minimum of 10+ years of enterprise data strategy experience.
• Preferred: Masters 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.