Automation, Borland ObjectWindows Library (OWL) Programming Libraries, Computational Logic, Computer Science, Data Management, Data Modeling, Data Quality, DataArchitect Data Modeling Tool, Database Extract Transform and Load (ETL), Home Automation, Mathematics, Metadata, Ontology, Policy Implementation, Production Systems, RDF (Resource Description Framework), SPARQL, Virtualization
Title: Principal Data Architect
Location: Houston, TX (Hybrid)-(1 week onsite every month. Looking for Local to TX or Nearby state candidates)
Role Type: 12 Month Contract
Position Overview:
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.
Key Focus Areas:Active Metadata, RDF, OWL, SHACL, SPARQL, OPA, Caelum/Amundsen.
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
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.
Pre-Screening Questions
Q1: Have you designed and deployed Active Metadata systems or closed-loop automation (such as automated schema repair)?
Q2: Do you have engineering history using RDF, OWL, SHACL, SPARQL for ontology modeling?
Q3: Have you implemented Open Policy Agent (OPA) or Policy-as-Code architectures within a live production environment?
Q4: Do you have experience in integrating Caelum or Amundsen push-events with DataHub's Actions Framework to drive real-time data quality orchestration or automated schema rollbacks?
Disclaimer: i-Link Solutions Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. We especially invite women, minorities, veterans, and individuals with disabilities to apply. EEO/AA/M/F/Vet/Disability.