Enterprise Data Architect Only for Australia

Location: Melbourne VIC Australia
Experience: 10 Years
Eligibility: Australian Citizens & Permanent Residents (PR) only. No sponsorship available.

We are looking for an experienced Enterprise Data Architect to lead the design governance and evolution of enterprise data platforms. This strategic role will define the organizations data architecture roadmap ensuring scalable secure and future-ready solutions that enable analytics AI and business transformation.

Key Responsibilities

• Define and maintain enterprise data architecture standards and governance frameworks.
• Lead architecture across Snowflake and modern cloud data platforms.
• Design scalable data lakes lakehouses analytics and enterprise integration solutions.
• Establish best practices for data governance security metadata MDM data quality and lineage.
• Architect enterprise integration using REST APIs Kafka Azure Data Factory Event Hub and ETL/ELT frameworks.
• Enable enterprise reporting self-service analytics AI and machine learning initiatives.
• Collaborate with Enterprise Architecture Data Engineering Security and Business teams to deliver strategic data solutions.

Required Skills

• 10 years experience in Enterprise Data Architecture or Solution Architecture.
• Extensive expertise in Snowflake architecture governance security performance tuning Snowpark Streams & Tasks and cost optimisation.
• Strong experience with Microsoft Fabric Azure Synapse Azure Data Factory Azure Data Lake Databricks SQL Server and modern Lakehouse architectures.
• Expertise in Data Mesh Data Fabric Data Governance Data Quality Metadata Management MDM and Data Lineage.
• Experience designing enterprise integration using REST APIs Kafka Azure Integration Services and Event-Driven Architecture.
• Strong knowledge of Dimensional Modelling Data Vault Kimball Methodology and enterprise data modelling.
• Experience with Azure Cloud Infrastructure as Code (IaC) CI/CD and DevOps practices.

Desirable

• Microsoft Purview or similar data governance tools.
• Experience with AI-ready data platforms and enterprise analytics.
• Background in large enterprise or regulated environments.

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