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Data Solutions Architect for UNITE Portfolio
4 weeks ago
We are seeking an experienced Data Solutions Designer to lead solution engineers in defining high-quality, fit-for-purpose solutions that align with architectural directions and guidelines within complex and rapidly evolving data platforms.
Key responsibilities include:
- Conceptualizing, defining, designing, and overseeing the delivery of quality solutions for the UNITE portfolio, covering all impacted platforms within the Data Platforms GBU.
- Establishing collaborative and influential relationships with stakeholders, customers, and colleagues to ensure effective achievement of data solutions and options aligned with strategic data outcomes.
- Engaging with business and technology stakeholders to understand solution needs, delivery timelines, and business benefits.
- Liaising with domain architects, information architects, business SMEs, and the wider Data Platforms community to identify potential synergies across domains and source high-value data for enabling data products.
- Providing technical advice and guidance to engineers to ensure alignment with standards and controls supporting solution delivery.
- Collaborating with engineers (both onshore and offshore) to ensure the successful delivery of solutions.
You'll play a significant part of the future of a business that has been around for over 200 years. Our purpose is to create better futures together.
We offer a competitive salary package of approximately $140,000 - $180,000 per annum, commensurate with experience, plus superannuation and other benefits. At Westpac, we're committed to creating a supportive culture and ensuring our workplaces are accessible and inclusive for everyone.
The ideal candidate will have:
- Extensive experience in data solution architecture and/or design within Banking, Finance, or data product environments.
- Demonstrated experience in implementing data solutions on Teradata Warehouse, Big Data, SAS platforms, or related environments, ensuring alignment with architectural patterns to meet business requirements efficiently.
- Proficiency in data warehouse ETL (preferably Informatica), data visualization and reporting tools (preferably Tableau/Power BI), and other tools such as SAS.
- Knowledge of Azure Cloud-based Synapse, Python/Spark/Spark SQL, Hive, and HBase using various file formats, including the externalization of business rules from application code.
A highly desirable candidate will also have:
- Proven experience in leading data teams in designing and delivering optimized solutions.
- Highly desirable experience in Data Modelling.
- Experience with Agile methodologies to iterate quickly on conceptual and physical product design.
- Employ CI/CD and DevOps/DevSecOps practices endorsed by Data Platforms and Group Technology to maximize the leverage of existing platform services.
As an equal opportunity employer, we are proud to have created a culture and work environment that values diversity and flexibility – and champions inclusion.