Enterprise Data Architect
Share
Job Location:
Chicago, IL - USA
Monthly Salary:
Not Disclosed
Posted on:
10 hours ago
Vacancies:
1 Vacancy
Job Summary
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.
Required:
- Bachelors 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)
