Data Architect - Sydney Location, Hybrid Work, 12+ Months Contract, Aws, S3

Data Architect - Sydney location Contract: 12+ months (with extension to 24 months)
Work Model: Hybrid (3 days in the office per week)
Location: Sydney CBD
Advertiser: Talent Insights is partnering with an Agency for the build of a new Data Platform utilizing AWS, S3, and AWS Services.
Citizenship Requirement: Successful applicants must have Australian Citizenship for free sponsorship to a Baseline Clearance or existing security clearance.
Role Overview: In this role, you will be the technical lead for the new Data Warehouse platform, which includes updating data development documentation, providing technical guidance to developers, reviewing and approving data designs and data models.
You will provide thought leadership in Data Architecture, Data Modelling, Design, Integration, as well as End to End Delivery Lifecycle. You will provide Governance and Advice for multiple Data Delivery Initiatives and Design and Approve Data Delivery Patterns.
Experience Required: The successful applicant will have experience with Data Architecture in an AWS Cloud Data environment, using S3 and contemporary Cloud Warehouse Products. Experience in delivery of Cloud Data Lake and Data Warehouse Platforms, including ETL, and demonstrated ETL and DevOps processes.
Responsibilities: Provide technical leadership to the project delivery teams through design reviews, advising on implementation best practices, defining and refining release processes, and conducting technical workshops. Review and refine the data delivery framework to enhance integration of new sources, performance of existing data delivery, and rapid development of new subject areas. Set peer review and data modelling release standards. Provide knowledge transfer sessions on best practices in development, data modelling, release processes, etc. Own the technical implementation of new data from analysis to delivery. Facilitate continuous improvement measures in delivery principles, coding standards, documentation, and provide training sessions to the team. Provide guidance on Conceptual, Logical, and Physical data models and strong experience in Data model tools like Erwin. Development and maintenance of system documentation. Collaboration with data consumers, database development, testers, and IT support teams. Click APPLY NOW or email (email protected) for more info.
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