Role: Senior Data Architect

Location: Melbourne/Sydney

Job Description:

Key Responsibilities

- Define and lead enterprise data architecture across business and technology domains.
- Develop target-state data architectures aligned to business strategy and technology roadmaps.
- Design contemporary data platforms incorporating Lakehouse and cloud data architecture principles.
- Provide architectural guidance across Databricks, Snowflake, Microsoft Purview and related data technologies.
- Establish and maintain data architecture principles, standards and patterns.
- Define approaches for data lineage, metadata management, data classification and data governance.
- Develop and maintain enterprise data models, taxonomies and information architecture.
- Work with data engineering, analytics, security and application architecture teams to ensure consistency across the data landscape.
- Assess existing data environments and develop pragmatic roadmaps for modernisation.
- Provide architectural oversight across data platform, integration and analytical initiatives.
- Ensure data architecture supports scalability, security, quality, discoverability and reuse.
- Define architectural standards and provide governance across delivery teams.
- Evaluate emerging data technologies and recommend appropriate solutions based on business requirements.




- Communicate complex architectural concepts to senior technology and business stakeholders.
- Mentor and provide architectural guidance to data engineers, architects and delivery teams.

Key Skills & Experience

- Extensive experience as a Senior Data Architect / Enterprise Data Architect / Lead Data Architect.
- Strong understanding of modern enterprise data architecture.
- Strong knowledge of Lakehouse architecture and modern cloud data platforms.
- Experience with Databricks, Snowflake and/or Microsoft Purview.
- Strong understanding of data lineage, metadata and data taxonomy.
- Experience developing enterprise data models and information architectures.
- Strong understanding of data governance and data management principles.
- Ability to design technology-agnostic architectures and select appropriate platforms based on business needs.
- Experience working across complex enterprise technology environments.
- Strong understanding of data integration, data platforms, analytics and information flows.
- Excellent stakeholder engagement and communication skills.
- Proven ability to operate at an enterprise architecture and strategic level.
- Strong leadership and influencing capability.

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