2 year fixed term salaried contract
- Impactful work that helps make a difference to the Australian people.
- Hybrid work with ability to work in the office and from home
More sense, less common
Objectives
- Provide technical leadership, design and implementation for the data discovery, integration, modelling, transformation, visualisation, and database management activities.
- Undertake the more complex design, programming and problem resolution tasks and ensure that systems and reports are tested for quality assurance.
- Work with key business and technology stakeholders to translate business and technical requirements into well engineered data solutions, end to end, that meet best practice standards and guidelines.
- Lead relevant research including the feasibility/impact evaluation of data sets, tools, and approaches to enable business objectives.
Technical Capabilities
- Lead the design and development of logical and physical data models to support business requirements and data integration strategies. Create detailed data models, including entity-relationship diagrams (ERD), dimensional models, and data flow diagrams.
- Develop and maintain data architecture standards and frameworks to ensure consistency and scalability across the organization's data platforms. Collaborate with data engineers and architects to implement best practices in data design.
- Design and optimize ETL/ELT pipelines, ensuring data from various sources (e.g., operational systems, third-party APIs, cloud platforms) is transformed and integrated accurately for reporting and analytics.
- Work closely with business analysts, product teams, and data engineers to understand data requirements and design models that align with business goals. Advocate for data governance best practices and ensure adherence to data quality standards.
- Define data quality rules, develop data validation procedures, and ensure consistency and integrity across different data systems. Implement and monitor data governance policies to ensure data is accessible, accurate, and secure.
- Maintain comprehensive documentation of data models, architecture, and design decisions. Create and update data dictionaries, standards, and guidelines for other teams to follow.
- Provide guidance and mentorship to data engineers and analysts. Lead design reviews and ensure the team adheres to best practices in data modelling and design.
- Stay up to date with the latest trends, technologies, and methodologies in data modelling and data management. Continuously explore opportunities for improvements and efficiencies in data design and architecture.
Application Close:
January 07, 2025
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