Principal Data Architect/Application Developer (Mendix/Avaya)

TMS LLCHouston, TX
$90 - $95Hybrid

About The Position

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.

Requirements

  • Minimum of 10+ years of enterprise data strategy experience.
  • Demonstrated success designing closed-loop data automation pipelines.
  • Experience building automated engines for metadata-triggered schema self-repair and structural drift remediation.
  • Comprehensive mastery of semantic web standards, including RDF, OWL, and SHACL.
  • Experience building ontology-first structural data models.
  • Experience with SPARQL for context-aware graph reasoning.
  • Production-grade deployment experience utilizing Open Policy Agent (OPA) or equivalent zero-trust policy engines.
  • Experience enforcing programmatic, contextual data access control layers.
  • Experience with Caelum or Amundsen push-events.
  • Experience with DataHub's Actions Framework.

Nice To Haves

  • Master's degree or Ph.D. in Computer Science with a core focus on Formal Methods/Symbolic Logic or Computational Mathematics.

Responsibilities

  • Design and engineer an enterprise-scale, Self-Healing Data Fabric.
  • Dismantle traditional, rigid ETL pathways.
  • Implement an intelligent "nervous system" framework for active operational metadata.
  • Ensure computational enterprise data governance.
  • Develop multi-party data virtualization relying on zero-copy architectures.
  • Design closed-loop data automation pipelines.
  • Build automated engines for metadata-triggered schema self-repair and structural drift remediation.
  • Utilize semantic web standards (RDF, OWL, SHACL) for ontology-first structural data models.
  • Implement SPARQL for context-aware graph reasoning.
  • Deploy Open Policy Agent (OPA) or equivalent zero-trust policy engines for programmatic, contextual data access control.
  • Drive real-time, event-based data quality orchestration and automated schema rollbacks using Caelum or Amundsen push-events alongside DataHub's Actions Framework.
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