Data Architect

About the Role
  
We’re seeking an experienced Data Architect to play a pivotal role in shaping our enterprise data platform and elevating how the organisation designs, governs, and consumes trusted data. You’ll join a forward-thinking team focused on enabling consistent, high-quality analytics, reporting, and AI/ML outcomes through robust data modelling and semantic layer design.
In this strategic and hands-on position, you’ll develop enterprise data models, design scalable semantic layers, and define best-practice standards that support business domains across finance, procurement, HR and more. You’ll work closely with stakeholders to translate complex requirements into clear, governed structures that ensure data is consistent, accessible, and ready to drive meaningful insights.
  
You Should Have

• Proven experience as a Data Architect and Data Modeller, including delivery of semantic layer designs
• Deep expertise in dimensional modelling, including facts, slowly changing dimensions, hierarchies, and familiarity with Data Vault 2.0 and 3NF
• Strong domain modelling experience across corporate functions such as finance, procurement, and HR
• Hands-on experience with semantic layer frameworks and tools (e.g., LookML, dbt metrics layer, BI semantic models)
• Proficiency with Azure data warehouse technologies and Microsoft BI tools
• Strong SQL, data transformation, and understanding of Medallion architecture (Bronze/Silver/Gold)
• Experience with performance tuning at model and warehouse levels (materialisations, caching, partitioning, clustering, Parquet/Delta)
• Excellent verbal and written communication, with the ability to lead design workshops and align stakeholders
• Ability to mentor, influence, and enable teams in data modelling and semantic design best practice

  
  
Key Responsibilities

• Develop and maintain conceptual, logical and physical data models aligned to enterprise needs
• Design and deliver semantic layers that define consistent KPIs, metrics, and business logic across analytics platforms
• Ensure data models are scalable, performant, domain-aligned, and optimised for analytics, reporting, and AI/ML use cases
• Apply domain-appropriate modelling patterns aligned with a Medallion architecture
• Define and implement best-practice approaches for modelling across data warehouses, data lakes, and hybrid environments
• Establish modelling standards, naming conventions, metadata guidelines, and governance processes
• Lead design reviews for data models, semantic layers, and metric definitions
• Collaborate with engineers, analysts, BI developers, and data scientists to enable self-service access to trusted data
• Train and mentor teams on modelling methods, semantic layer concepts, and business logic implementation
• Act as the bridge between technical engineering teams and business-facing analytics groups

  
The Benefits

• Opportunity to shape the enterprise-wide approach to data modelling, semantic design, and governance
• Work within a collaborative environment that values ownership, thought leadership, and technical excellence
• High-impact role influencing analytics, reporting, and AI/ML initiatives across the organisation

  
If this sounds like you, we’d love to hear from you. Apply now or contact Kent Sin at 0468 084 658  or kent@versegroup.com.au.