Job Description
Role: Senior Data Architect
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Location: Melbourne/Sydney
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Job Description:
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Key Responsibilities
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Define and lead enterprise data architecture across business and technology domains.
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Develop target-state data architectures aligned to business strategy and technology roadmaps.
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Design modern data platforms incorporating Lakehouse and cloud data architecture principles.
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Provide architectural guidance across Databricks, Snowflake, Microsoft Purview and related data technologies.
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Establish and maintain data architecture principles, standards and patterns.
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Define approaches for data lineage, metadata management, data classification and data governance.
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Develop and maintain enterprise data models, taxonomies and information architecture.
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Work with data engineering, analytics, security and application architecture teams to ensure consistency across the data landscape.
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Assess existing data environments and develop pragmatic roadmaps for modernisation.
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Provide architectural oversight across data platform, integration and analytical initiatives.
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Ensure data architecture supports scalability, security, quality, discoverability and reuse.
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Define architectural standards and provide governance across delivery teams.
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Evaluate emerging data technologies and recommend appropriate solutions based on business requirements.
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Communicate complex architectural concepts to senior technology and business stakeholders.
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Mentor and provide architectural guidance to data engineers, architects and delivery teams.
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Key Skills & Experience
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Extensive experience as a Senior Data Architect / Enterprise Data Architect / Lead Data Architect.
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Strong understanding of modern enterprise data architecture.
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Strong knowledge of Lakehouse architecture and modern cloud data platforms.
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Experience with Databricks, Snowflake and/or Microsoft Purview.
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Strong understanding of data lineage, metadata and data taxonomy.
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Experience developing enterprise data models and information architectures.
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Strong understanding of data governance and data management principles.
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Ability to design technology-agnostic architectures and select appropriate platforms based on business needs.
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Experience working across complex enterprise technology environments.
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Robust understanding of data integration, data platforms, analytics and information flows.
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Excellent stakeholder engagement and communication skills.
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Proven ability to operate at an enterprise architecture and strategic level.
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Strong leadership and influencing capability.
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