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Data Governance Lead/Architect

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Job Description:

The Data Governance Lead/Architect will be responsible for creating and executing a cross-functional enterprise data program that supports overlapping data needs across tax, finance, and operations. This role requires strong leadership, deep hands-on technical skills (ETL, data modeling, SQL, MDM), and the ability to leverage platforms like Databricks for enterprise data solutions. A critical aspect is acting as a liaison with key business leaders to ensure data initiatives directly drive business value and compliance. Working hours: US business hours till 4 PM ET.

Job Responsibility:

  • Define and execute a forward-thinking data governance strategy and roadmap
  • Build a scalable, adaptive framework that ensures compliance while facilitating the adoption of AI and GenAI technologies
  • Lead the end-to-end development of enterprise ontologies and knowledge graphs, including schema design, reasoning rules, and alignment
  • Create scalable semantic models using RDF/OWL/SPARQL
  • Integrate structured and unstructured sources into the semantic layer through schema mapping and harmonization
  • Conduct ontology validations, entity reconciliation, and SPARQL-based quality checks
  • Oversee data cataloging, provenance, master data management (MDM), and metadata management
  • Establish standards for versioning control and change management
  • Facilitate cross-departmental initiatives to establish a common data language
  • Provide insights on data investments and promote best practices across technical and functional teams

Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or equivalent
  • 10+ years in data management/governance with a proven record in leadership roles
  • 5+ years of hands-on experience in ontology engineering and knowledge graph development
  • Advanced proficiency in RDF, OWL, and SPARQL
  • Practical experience with Stardog, Metaphacts, or GraphDB
  • Proficiency in platforms such as Collibra, Informatica, Topbraid EDG, Erwin, or LeanIX
  • Proficiency in SQL and familiarity with Python for automation
  • Strong understanding of integrating relational, NoSQL, and semi-structured data
  • Experience with cloud environments (Azure preferred)
  • Demonstrated success in transforming data practices within large, complex organizations and leading cross-functional teams

Nice to have:

  • Experience with reasoning engines, inference rules, and schema harmonization
  • Familiarity with Google Knowledge Graph tools (Schema Tool, Critique, Cider)
  • Domain modeling experience in cloud infrastructure, software, or asset management
  • Certifications in Azure or semantic technologies (Stardog, Metaphacts)
What we offer:
  • Flexible working format - remote, office-based or flexible
  • A competitive salary and good compensation package
  • Personalized career growth
  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
  • Active tech communities with regular knowledge sharing
  • Education reimbursement
  • Memorable anniversary presents
  • Corporate events and team buildings
  • Other location-specific benefits

Additional Information:

Job Posted:
January 03, 2026

Work Type:
On-site work
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