Remote Information Architect: Sales & Commercial Data

Aether Biomedical

United States

Remote

USD 88,000 - 131,000

Full time

8 days ago
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Job summary

Aether Biomedical seeks an experienced Information Architect to lead the sales and commercial data information foundation. The role focuses on architecture, modeling, governance, and enterprise data management across business domains.

You will translate business needs into robust data models and standards, enabling reusable data assets and AI-ready analytics. The position requires collaboration with business and tech teams in a large organization, leveraging Azure, Snowflake, and dbt within a

Qualifications

  • 7+ years of proven experience in information architecture or data modeling.
  • Experience with information modeling and enterprise data modeling.
  • Knowledge of metadata management, glossaries, and data catalogs.

Responsibilities

  • Define and develop information architecture for sales, commercial, customer domains
  • Design and maintain business concepts, information models, and data structures
  • Create conceptual and logical data models based on business requirements
  • Translate business needs into structured information and data requirements
  • Develop and maintain metadata, definitions, and information standards
  • Support creation of governed data assets and data products
  • Ensure consistency of concepts and models across functions and systems
  • Collaborate with stakeholders, architects, data teams and engineers
  • Support data governance and information management initiatives
  • Contribute to AI-ready and analytics-ready data foundations
  • Work with modern cloud data platforms and cloud ecosystems

Skills

Information architecture
Data modeling
Data governance
Glossaries & metadata
Stakeholder management
Cloud platforms knowledge

Tools

Azure
Snowflake
dbt

Job description

Aether Biomedical seeks an experienced Information Architect to lead the sales and commercial data information foundation. The role focuses on architecture, modeling, governance, and enterprise data management across business domains.

You will translate business needs into robust data models and standards, enabling reusable data assets and AI-ready analytics. The position requires collaboration with business and tech teams in a large organization, leveraging Azure, Snowflake, and dbt within a

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