Staff Data Engineer (Databricks)

Location: Guadalajara, Mexico

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 and boundaries for reusable data products versus raw or intermediate assets.
• Establish metadata standards, tagging taxonomies, security classifications, and data governance practices.
• Register and maintain data products in Databricks Unity Catalog, including schemas, access grants, lineage, and catalog metadata.
• Partner with data engineering teams to align Databricks ingestion, transformation, and storage patterns with domain models.
• Collaborate with Knowledge Products, Research Products, and Architecture, Data, and Technology stakeholders on downstream consumption, AI agent retrieval, privacy, and legal review.

Requirements

• 5+ years of experience in data modeling, data architecture, or information architecture.
• Experience with unstructured or semi-structured data and Knowledge Management, content management, or enterprise search.
• Hands-on experience with a modern data catalog; Databricks Unity Catalog experience is strongly preferred.
• Ability to define data domains and data product boundaries in a large, multi-stakeholder organization.
• Practical knowledge of metadata management, taxonomies, controlled vocabularies, ontology design, and data security classification.
• Strong written and verbal communication skills for explaining technical modeling decisions to business and governance stakeholders.

Nice to have

• Experience with Glean, SharePoint, ServiceNow, or AI-powered retrieval systems.
• Familiarity with Databricks Delta Lake, Delta Sharing, or Lakehouse Federation.
• Background in professional services, consulting, library science, information science, or applied ontology.
• Exposure to Legal, Risk, or Privacy review processes for data classification and access approvals.
• General experience with BI schema design.

Culture & Benefits

• Dynamic, non-hierarchical work culture.
• International environment with more than 15,000 experts across 26 countries.
• Opportunity to establish repeatable modeling standards for a scaling Knowledge Management platform.