Enterprise Data Architect

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Job Title: Data Architect

Summary

We are looking for an experienced Data Architect to lead the design and evolution of enterprise data architecture supporting business, analytics, and AI initiatives. This role will define data models, establish shared data standards across domains, and build a scalable foundation for data interoperability and governance.

Key Responsibilities

• Define and govern enterprise data architecture (conceptual, logical, and canonical models).
• Develop domain-driven data models for core business entities and processes.
• Lead metadata strategy, data cataloging, and data lineage initiatives.
• Provide architectural guidance for data products, pipelines, and integrations.
• Establish System of Record (SoR) and Single Source of Truth (SSoT) across domains.
• Design semantic models, taxonomies, and ontologies for analytics and AI use cases.
• Collaborate with engineering, analytics, and governance teams for implementation.
• Conduct data architecture assessments and define roadmap improvements.
• Mentor teams on data modeling and best practices.
  
  

Qualifications

Required:

• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field
• 8 years of experience in data architecture or advanced data modeling
• Strong expertise in enterprise data modeling and domain-driven design
• Experience with MDM, metadata management, and data governance
• Experience with cloud data platforms / lakehouse architectures
• Strong communication and stakeholder management skills
  
  

Preferred:

• Experience with Databricks or similar platforms
• Familiarity with UML, RDF, OWL, or semantic modeling standards
• Experience with knowledge graphs or AI-ready data architecture
• Background in legal or financial services (a plus)