Senior Data Solution Designer

at  Robert Walters

This role offers the chance to lead solution design for data assets, including ETL - data ingestion/processing design, data models, and leading standards and delivery according to the design of data products on a state-of-the-art data analytics platform. The successful candidate will be part of a dynamic team overseeing the design and migration of data products onto the company’s innovative platform. This is a full-time, permanent position based in Sydney.
What you’ll do:

As a Senior Data Solution Designer, you will play a pivotal role in providing thought leadership for end-to-end Data Products and guiding squads of data engineers to deliver high-quality data products. You will be instrumental in shaping the future of our client’s innovative platform by contributing to strategy and planning for the ongoing development of their data foundation. Your expertise will be crucial in planning changes to data design frameworks and standards necessary for delivering top-notch data services. You will also liaise with various teams to plan changes to platform and application architecture that meet functional and non-functional requirements.

• Provide inputs into Strategy and Planning for ongoing development of data foundation
• Responsible for planning any changes to data design frameworks and standards required to deliver quality data services
• Liaise with division IT architecture, Group data architecture, and data platforms team to plan for any changes to platform and application architecture needed to deliver and meet data services functional and non-functional requirements
• Lead design of data assets for QSIGHT data foundation primarily on the Common Data Model and solution design (ETL/ELT frameworks, CI/CD, Realtime Integration etc) for specific projects across assigned value stream
• Maintain and enrich data design standards and methodology, to meet ongoing data service requirements
• Provide oversight on data design across all value stream chapters (e.g. Claims, Underwriting etc.)

The ideal candidate for the Senior Data Solution Designer role will bring a wealth of experience in leading data solution design for complex data warehouse and data lake environments. You will have advanced communication skills, with the ability to articulate, present, influence and negotiate with key stakeholders. Your knowledge and understanding of the end-to-end data engineering lifecycle and data quality management will be essential in this role. You will also have significant experience in uplifting standards and continuous improvement of data delivery practices.

• Proven experience in leading data solution design for complex data warehouse and data lake environments
• Advanced communication skills, able to articulate, present, influence and negotiate with key stakeholders
• Knowledge and understanding of end-to-end data engineering lifecycle and data quality management
• Significant experience in uplifting standards and continuous improvement of data delivery practices
• Experience in cloud data stacks, preferably Azure (& Databricks)
• Experience across batch, real time and streaming data solutions

What sets this company apart:
Our client is an international insurer that’s building momentum towards realising their vision of becoming the most consistent and innovative risk partner. They are proud to work together, encourage each other to enable resilience for their customers, environment, economies and communities. With more than 11,000 people working across 27 countries, they’re big enough to make a real impact, but small enough to provide a friendly workplace, where people are down-to-earth, passionate and kind.
Aboriginal and Torres Strait Islander Peoples are encouraged to apply.
To apply please click apply or call Joe Spencer-Lewis on 02 8289 3148 for a confidential discussion.
This role offers the chance to lead solution design for data assets, including ETL - data ingestion/processing design, data models, and leading standards and delivery according to the design of data products on a state-of-the-art data analytics platform ..

As a Senior Data Solution Designer, you will play a pivotal role in providing thought leadership for end-to-end Data Products and guiding squads of data engineers to deliver high-quality data products. You will be instrumental in shaping the future of our client’s innovative platform by contributing to strategy and planning for the ongoing development of their data foundation. Your expertise will be crucial in planning changes to data design frameworks and standards necessary for delivering top-notch data services. You will also liaise with various teams to plan changes to platform and application architecture that meet functional and non-functional requirements.

• Provide inputs into Strategy and Planning for ongoing development of data foundation
• Responsible for planning any changes to data design frameworks and standards required to deliver quality data services
• Liaise with division IT architecture, Group data architecture, and data platforms team to plan for any changes to platform and application architecture needed to deliver and meet data services functional and non-functional requirements
• Lead design of data assets for QSIGHT data foundation primarily on the Common Data Model and solution design (ETL/ELT frameworks, CI/CD, Realtime Integration etc) for specific projects across assigned value stream
• Maintain and enrich data design standards and methodology, to meet ongoing data service requirements
• Provide oversight on data design across all value stream chapters (e.g. Claims, Underwriting etc.

The ideal candidate for the Senior Data Solution Designer role will bring a wealth of experience in leading data solution design for complex data warehouse and data lake environments. You will have advanced communication skills, with the ability to articulate, present, influence and negotiate with key stakeholders. Your knowledge and understanding of the end-to-end data engineering lifecycle and data quality management will be essential in this role. You will also have significant experience in uplifting standards and continuous improvement of data delivery practices.

• Proven experience in leading data solution design for complex data warehouse and data lake environments
• Advanced communication skills, able to articulate, present, influence and negotiate with key stakeholders
• Knowledge and understanding of end-to-end data engineering lifecycle and data quality management
• Significant experience in uplifting standards and continuous improvement of data delivery practices
• Experience in cloud data stacks, preferably Azure (& Databricks)
• Experience across batch, real time and streaming data solution