Staff Engineer - Data Modeler (Databricks)

Location: Remote, Canada

Company

hirify.global is a digital product engineering company building products, services, and experiences across digital platforms and devices.

What you will do

• Design logical and physical data models for unstructured and semi-structured knowledge assets, including documents, case artifacts, extracted knowledge fragments, and metadata records.
• Define data domains, ownership boundaries, and reusable data product structures for the Knowledge Management ecosystem.
• Establish metadata standards, tagging taxonomies, provenance rules, lineage documentation, and confidentiality classifications.
• Register and maintain data products in Databricks Unity Catalog, including schemas, access grants, lineage, and catalog metadata.
• Partner with data engineers on Databricks ingestion, transformation, and storage pipelines.
• Collaborate with Knowledge Products, Research Products, architecture, data, and technology stakeholders to support AI retrieval and downstream consumption.

Requirements

• 5+ years of experience in data modeling, data architecture, or information architecture, including exposure to unstructured or semi-structured data.
• Strong data modeling skills and hands-on experience with Databricks or a modern data catalog; Databricks Unity Catalog experience is strongly preferred.
• Experience in or adjacent to Knowledge Management, content management, or enterprise search.
• Experience defining data domains, data product boundaries, metadata schemas, taxonomies, controlled vocabularies, or ontologies.
• Understanding of data security and sensitivity classification frameworks and their relationship to Lakehouse access control.
• Strong written and verbal communication skills, including the ability to explain technical decisions to business and governance stakeholders.

Nice to have

• Experience with BI schema design and enterprise knowledge platforms such as Glean, SharePoint, or ServiceNow.
• Familiarity with Delta Lake, Delta Sharing, or Lakehouse Federation.
• Experience in professional services, consulting, or document- and case-intensive environments.
• Exposure to legal, risk, or privacy reviews for data classification and access approvals.
• Background in library science, information science, or applied ontology.

Culture & Benefits

• Full-time employment in a dynamic, non-hierarchical work culture.
• Opportunity to contribute to a newly formed Knowledge Management Data Platform team.
• Work with stakeholders and engineering teams across a global digital product engineering organization.