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 modern 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.
Robust 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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