Senior Data Solution Designer
Sydney
Contract
About the Role
We're working with a leading financial services client who are looking for an experienced Senior Data Solution Designer to help shape, develop, and deliver end-to-end data solutions aligned with enterprise architecture principles. This role plays a key part in ensuring that data initiatives meet business objectives and adhere to architectural and delivery standards.
The Opportunity
As a Senior Data Solution Designer, you will lead the architectural and solution design of data products across a growing cloud-based analytics platform. You will be instrumental in transforming legacy data systems into modern, scalable cloud solutions, ensuring consistent standards across data models, pipelines, and ingestion frameworks.
You'll be part of a central data team focused on delivering foundational data capabilities through a unified data model. Collaborating closely with engineering squads, architects, and platform teams, you will guide the delivery of robust, scalable, and efficient data products.
Key Responsibilities:
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Contribute to strategic planning and help evolve data architecture frameworks.
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Lead solution design across core data assets including ingestion pipelines, transformation frameworks, and data modeling.
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Ensure alignment with enterprise architecture and collaborate on platform changes to support both functional and non-functional requirements.
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Develop and maintain data design standards, ensuring consistent and high-quality delivery across all business units.
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Provide technical oversight and guidance across various business domains such as Claims and Underwriting.
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Act as a key liaison with data platform teams to advise on technical enhancements and platform upgrades.
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Support continuous improvement of data delivery practices and platform capabilities.
What You'll Bring:
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6-8+ years of experience in designing and delivering complex data solutions in enterprise environments.
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Deep expertise in data architecture and modeling for data warehouse and data lake platforms.
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Hands-on experience designing ETL/ELT frameworks and modern data pipelines, including real-time and batch processing.
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Proven experience designing data solutions for advanced analytics, including AI/ML and digital applications.
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Solid understanding of cloud data platforms, preferably with experience in Azure and Databricks.
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Strong knowledge of modern data architecture and delivery methodologies, including CI/CD practices.
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Skilled in leading technical delivery within Agile environments.
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Experience guiding migrations from legacy systems to cloud-native data platforms.
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Proficient in tools such as SQL Server, SSIS, SSAS, SSRS, Power BI, and related Microsoft technologies.
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Excellent communication skills with the ability to influence stakeholders and lead technical teams.
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Strong grasp of data governance, quality frameworks, and end-to-end data lifecycle management.
If interested, get in touch -
