Data Architect
Job in
Columbus, Franklin County, Ohio, 43224, USA
Listed on 2026-06-21
Listing for:
Akaasa Technologies
Contract
position Listed on 2026-06-21
Job specializations:
-
IT/Tech
Information & Knowledge Management, Information Security, Data Security, Data Engineering
Job Description & How to Apply Below
Position Title:
Data Architect
Location:
Columbus, OH (5 days onsite) Duration: 6 Months (Contract to hire)
Looking for Information data architect
someone who have done major data analysis - not small scope
Job Description:- Information Architect
- Expert in data architecture disciplines
- Expert in architecture and design across all systems of the LOB.
Summary:
- The Information Architect is responsible for designing and governing the structure, semantics, and organization of information across the enterprise.
- This includes developing taxonomies, ontologies, metadata schemas, and navigation structures to ensure information is findable, usable, and consistent.
- The Information Architect works closely with data architects, governance teams, and business stakeholders to optimize information discoverability and clarity.
- Develop and maintain enterprise taxonomies, ontologies, controlled vocabularies, and metadata schemas.
- Define and document canonical information models, naming conventions, and master data definitions.
- Design information navigation structures for portals, catalogs, and user interfaces.
- Partner with data governance to maintain data dictionaries, lineage, and stewardship policies.
- Collaborate with data architects and engineers to ensure information structures align with data platforms and integration patterns.
- Improve information discoverability, usability, and consistency across systems.
- Support data catalog, glossary, and metadata management initiatives.
- Provide guidance on information architecture best practices and standards.
- Bachelor's or Master's degree in Information Science, Library Science, Computer Science, or related field.
- Experience in information architecture, taxonomy/ontology design, metadata management, and knowledge organization.
- Familiarity with information cataloging tools (e.g., Collibra, Alation), taxonomy/ontology editors, and knowledge graph platforms.
- Strong understanding of data governance, stewardship, and master data management principles.
- Excellent analytical, communication, and stakeholder engagement skills.
- Consistent, clear, and discoverable information structures.
- Improved user experience and information findability.
- Effective collaboration with data and governance teams.
- Adoption of information architecture standards and best practices.
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