Data Architect

vor 3 Wochen

Melbourne, Österreich Data Privacy Vollzeit

Data Architect - Melbourne location, hybrid work, 12+ months contract, AWS, S3

2024-09-16

Advertiser:

Talent Insights is partnering with an Agency for a build of a new Data Platform utilizing AWS, S3 and AWS Services.

This is an initial 12 month contract with extension to 24 months and a hybrid working model meaning 3 days in the office per week.
There are two office locations, either West Melbourne or CBD location.

Successful applicants must have Australian Citizenship for free sponsorship to a Baseline Clearance or existing security clearance.

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 be providing 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.

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.The role will focus on collaborating with key business areas in the development and implementation of consumable reports and analytics to address key risks and emerging trends within these areas.

Responsibilities of the role include:Provide technical leadership to the project delivery teams through design reviews, advising on implementation best practices, defining and refining release process and technical workshops.Review and refine the data delivery framework in order 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 on development, data modelling, release process 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 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.

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