Data Architect
1 week ago
The Data Architect will serve as the technical lead of the client's enterprise data warehouse platform. This includes updating data development documentation, providing technical guidance to developers, and reviewing/approving data designs and data models.
Provide thought leadership in Data Architecture, Data Modelling, Design, Integration as well as End to End Data Delivery Lifecycle approaches.
Govern and advise on multiple Data Delivery Initiatives.
Design and approve Data Delivery Patterns.
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- 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, and release processes.
- 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.
- Prioritize work items and add them to a work queue.
- Understand, analyze, and size user requirements.
- Provide guidance on Conceptual, Logical, and Physical data models and possess 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.
(NOTE: the key responsibilities of the role are based on current priorities and may change over time.)
Role Specifications- Working in an open office environment (exposure to general workplace chatter).
- Working from home on occasion.
- Working in a hot desk environment.
- Significant periods of sitting at a counter or desk.
- Operating a telephone.
- Computer/screen-based work.
- Ability to use computer/software applications including Microsoft Office and client business systems.
- Assistance animals may be in the work area.
The client will make all workplace adjustments that are necessary, possible, and reasonable to reduce or eliminate barriers at work for workers with disabilities, illness, and injury.
Australian CitizenWorking ArrangementsSubject to negotiations with the line manager, hybrid working arrangements in line with current client policy are available (minimum of 3 days each week in the office, with flexible arrangements in place for the remaining 2 days).
Essential Criteria- Strong Data Architecture skills including enterprise-scale conformed models and ability to design for analytical use.
- Demonstrated high level of competency in Data Architecture within an AWS cloud data environment, encompassing S3 and contemporary cloud warehouse products.
- Strong experience in technical leadership for delivery of cloud Data Lake and Data Warehouse platforms, including ETL and data governance design and implementation.
- Strong experience in data modelling, including providing guidance and peer review to engineers and modellers.
- Demonstrated experience working with DevOps processes.
- Demonstrated knowledge of version controls and its appropriate uses.
- Tertiary qualifications in mathematics, statistical, computer sciences discipline or more than 8 years of relevant work experience.
- Strong expertise in SQL and experience with contemporary analytics coding languages (e.g., Python, R).
- Experience reverse engineering end-user SQL code and interpreting data models and specifications.
- Demonstrated knowledge of metadata/model-driven frameworks.
- Experience working in an Agile environment.
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