
Enterprise Data Solutions Specialist
2 days ago
Enterprise Data Solutions Specialist
Job DescriptionThis key role plays a pivotal part in delivering cutting-edge data solutions for large-scale government transformations.
- Lead the development of conceptual, logical, and physical data models across both core and access layers of an enterprise data warehouse.
Key responsibilities include:
- Design and maintenance of conceptual, logical, and physical models.
- Setting standards for peer reviews and managing release processes for data models.
- Driving improvements in modelling practices, documentation, and workflows.
- Developing and maintaining SQL-based ETL and analytical code across platforms such as MS SQL, Teradata, Snowflake, Redshift, or Databricks.
- Supporting the development of consumption layers for end-user reporting and analytics.
- Creating and managing data dictionaries and ensuring alignment with metadata-driven frameworks.
- Providing knowledge transfer and support for internal stakeholders and developers.
- Collaborating with cross-functional teams, testers, and data consumers to ensure successful delivery of solutions.
- Maintaining system documentation and contributing to backlog grooming and delivery planning.
Required skills and experience include:
- 4+ years in a similar data modelling role.
- Demonstrated experience in data modelling using metadata or model-driven frameworks.
- Proficiency with at least two of the following: MS SQL, Teradata, Snowflake, Redshift, Databricks.
- Solid understanding of DevOps processes and tools.
- High-level programming capability, ideally with experience in Python, R, SAS, or Java.
- Strong knowledge of version control practices and tools.
- Australian Citizenship is mandatory.
Hybrid working arrangement available. Location: Sydney, Australia.
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