Data Architect / Modeler (Databricks)

Location: Singapore; on-site

Employment type: Full time

Company

hirify.global is a global professional services company helping organizations build digital capabilities and improve operations through technology, cloud, data, AI, and industry expertise.

What you will do

• Define and maintain conceptual, logical, and physical data models aligned with Databricks lakehouse architecture and enterprise standards.
• Translate business requirements, data definitions, and business rules into data models, mappings, and implementable technical designs.
• Analyze source systems, relationships, dependencies, and data flows to define target-state architectures.
• Design solutions using Databricks, Delta Lake, Unity Catalog, and medallion architecture patterns.
• Establish reusable architecture standards, modeling conventions, design principles, governance, metadata, lineage, data quality, security, and standardization practices.
• Guide data engineering teams, conduct design reviews, maintain requirements-to-data traceability, and support continuous improvement.

Requirements

• 5+ years of relevant hands-on experience in data architecture, data modeling, data engineering, or related disciplines.
• Strong experience translating complex business and data requirements into conceptual, logical, and physical data models.
• Hands-on Databricks knowledge, including Delta Lake, Unity Catalog, and medallion architecture patterns.
• Strong understanding of enterprise data architecture, data integration patterns, dimensional modeling, normalized schemas, and data design standards.
• Proficiency with data modeling tools and techniques, including ERD, UML, dimensional modeling, or equivalent approaches.
• Experience incorporating data governance, metadata management, data lineage, and data quality requirements into solution designs.
• Strong communication and stakeholder-management skills, including the ability to explain architecture decisions to technical and business audiences.

Nice to have

• Experience designing and implementing models for production Databricks lakehouse environments.
• Knowledge of Delta Lake optimization, partitioning, Databricks SQL, Spark SQL, and performance tuning.
• Experience with complex banking or financial-services data models, large-scale transformation, or cloud migration initiatives.
• Experience with Data Vault, advanced dimensional modeling, or complex normalized enterprise data models.
• Familiarity with metadata, lineage, and data quality platforms such as OpenMetadata or comparable technologies.
• Agile delivery experience and experience guiding iterative architecture and modeling decisions.
• Advanced degree or professional certifications in data architecture, cloud, or Databricks technologies.

Culture & Benefits

• Work as part of a global professional services and technology organization serving clients in more than 120 countries.
• Collaborate across business, data ownership, architecture, and engineering functions.
• Contribute to modern data architecture practices and shared enterprise standards.
• Equal employment opportunity and commitment to an inclusive workplace.