DBiz is seeking an experienced EnterpriseData Architect ton behalf of one of our enterprise clients.
This is a strategic architecture role responsible for defining and governing the organization's enterprise data landscape, ensuring data platforms are scalable, secure, well-governed and aligned with business objectives.
WhileSnowflakeis the client's primary cloud data platform, the successful candidate will possess broad expertise across modern enterprise data technologies and architecture practices.
The role requires someone who can think beyond a single platform, providing architectural leadership across cloud data platforms, integration, analytics, governance and emerging AI capabilities.
Working closely with Enterprise Architecture, Business, Digital, Security, Data Engineering and Analytics teams, you will establish enterprise-wide data standards, drive architectural decisions and support the delivery of modern, data-driven solutions.
Key Responsibilities
Define and maintain the enterprise data architecture roadmap aligned to business and technology strategy.
Develop enterprise data principles, standards and reference architectures.
Provide architectural leadership across strategic transformation initiatives.
Collaborate with Enterprise Architects to ensure alignment with the broader technology landscape.
Participate in architecture governance and review boards.
Snowflake Architecture
Lead the architecture and governance of the enterprise Snowflake platform.
Design secure, scalable and high-performing Snowflake solutions.
Establish best practices for:
Performance optimization
Security and RBAC
Data Sharing
Virtual Warehouses
Snowpark
Streams and Tasks
Time Travel and Zero Copy Cloning
Design and provide architectural guidance across modern enterprise data technologies, including:
Snowflake
Microsoft Fabric
Databricks
SQL Server
Lakehouse architectures
Data Lakes
Data Fabric and Data Mesh concepts
Data Integration
REST APIs
Event-driven architecture




Kafka
ETL/ELT frameworks
Streaming and batch data pipelines
Data Governance
Partner with business and technology teams to establish enterprise-wide governance practices covering:
Data Quality
Metadata Management
Master Data Management (MDM)
Data Classification
Privacy and Security
Information Lifecycle Management
Analytics and AI Enablement
Design data architectures that support:
Self-service analytics
Power BI
Microsoft Fabric Analytics
AI and Machine Learning initiatives
Generative AI use cases through trusted enterprise data
Provide strategic guidance across cloud-based data platforms, ensuring:
Scalability
Security
Resilience
Operational excellence
Future readiness
10+ years of experience in Enterprise Data Architecture, Data Platform Architecture or Solution Architecture.
Strong understanding of enterprise architecture principles and governance.
Snowflake
Snowflake platform architecture
Performance tuning
Security architecture
Data Sharing
Snowpark
Streams and Tasks
Governance
Modern Data Platforms
Robust experience across several of the following:
Microsoft Fabric
Databricks
SQL Server
Lakehouse architectures
Data Mesh
Data Fabric
Integration
APIs
Event-driven architectures
Kafka
Streaming technologies
ETL and ELT frameworks
Strong understanding of:
Data Vault
Kimball methodology
Canonical data models
Logical and physical data modelling
Governance & Security
Experience implementing enterprise data governance practices, including:
Data Quality
Metadata Management
MDM
Information Security
Compliance frameworks
Experience with:
Infrastructure as Code
CI/CD and DevOps practices
Experience within large enterprise or regulated environments.
Familiarity with Microsoft Purview or similar data governance platforms.
Exposure to AI-ready data architectures.
Experience implementing Microsoft Fabric alongside Snowflake.
Knowledge of modern enterprise integration and analytics ecosystems.
#J-*****-Ljbffr

📌 Enterprise Data Architect (Melbourne)
🏢 DBiz.ai
📍 Melbourne