Lead Data Architect

ai talent • Australia
Visa Sponsorship
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AI Summary

Design and evolve enterprise data ecosystems, lead cloud data migrations, and ensure data sovereignty and compliance. Partner with C-suite stakeholders to develop data strategies and roadmaps. Oversee the design of complex data models and ensure AI-readiness.

Key Highlights
Lead the evolution from legacy warehouses to a modern Data Lakehouse
Develop multi-year data strategies and roadmaps
Ensure data sovereignty and compliance with APRA and banking standards
Key Responsibilities
Define the target state architecture
Partner with C-suite stakeholders to develop multi-year strategies
Architect enterprise frameworks to ensure data sovereignty and compliance
Oversee the design of complex conceptual, logical, and physical models
Ensure the underlying data fabric is optimized for Large Language Models
Technical Skills Required
Azure Databricks Snowflake Microsoft Fabric SQL Python (PySpark) TOGAF Zachman dbt Apache Spark Kafka
Benefits & Perks
482 Visa sponsorship available

Job Description


As the Lead Data Architect, you will be the primary authority for the design and evolution of our client's enterprise data ecosystem; 482 Visa sponsorship is available for the right candidate. This role is "beefed up" to focus on the transition from legacy on-premises environments to a high-performance, AI-Ready Modern Data Stack. You will define the target state architecture, ensuring data sovereignty and compliance with APRA/Australian regulatory standards while enabling advanced analytics at scale.


📋 Core Responsibilities
  • Target State Architecture: Lead the evolution from legacy warehouses to a modern Data Lakehouse (Medallion architecture) using Azure Databricks, Snowflake, or Microsoft Fabric.
  • Data Strategy & Roadmap: Partner with C-suite stakeholders to develop multi-year strategies that align technical architecture with business ROI and AI/ML adoption.
  • Governance & Sovereignty: Architect enterprise frameworks (Collibra/Informatica) to ensure data sovereignty and strict compliance with APRA and banking standards.
  • Advanced Data Modelling: Oversee the design of complex conceptual, logical, and physical models, specializing in Data Vault 2.0 and Star Schema for enterprise-scale analytics.
  • Integration Patterns: Standardize real-time and batch patterns using dbt, Apache Spark, and Kafka.
  • AI-Readiness: Ensure the underlying data fabric is optimized for Large Language Models (LLMs) and predictive analytics.


✅ Technical Requirements
  • Expertise: 10+ years in Data Architecture, with at least 5 years leading high-stakes Cloud Data Migrations.
  • Platform Mastery: Deep expertise in Snowflake, Databricks, or Microsoft Fabric.
  • Languages: Advanced SQL and Python (PySpark) skills.
  • Frameworks: Mastery of TOGAF or Zachman for structured enterprise architecture.
  • Compliance: Proven experience navigating the regulatory landscape of Australian Finance, Government, or Resources.



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