DBiz is seeking an experienced Enterprise

Data Architect t on 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. While

Snowflake

is 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 Contemporary Data Platforms

Strong 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.

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📌 Enterprise Data Architect (Port Phillip City)
🏢 DBiz.ai
📍 Port Phillip City