Overview
Data Modeller required to lead the development of logical and physical ERDs and define standards for a new data lake for a financial services business.
Responsibilities
- Assess and model data sources, documenting the data consumed and provided
- Build Entity Relationship Diagrams for our data landscape and target databases.
- Partner with business stakeholders to understand how data is used and consumed.
- Develop SQL queries and test artefacts to validate data pipelines against requirements.
- Deliver training and knowledge-sharing sessions for Data Engineering teams.
- Collaborate with Product Owners, Data Analysts, Data Scientists, Architects, and Engineers to validate design decisions.
- Participate in design reviews, testing, and pipeline builds in non-production environments.
- Help embed data as a strategic asset, enabling AI-ready and trusted datasets.
What we're looking for
- Strong knowledge of data modelling methodologies (Kimball, Data Vault 2.0, BI principles).
- Hands-on experience using tools such as Erwin (or similar).
- Excellent SQL skills for exploration, testing, and validation.
- Proven experience working with Data Engineers to prototype models and guide designs.
- Strong communication skills with the ability to translate technical to business language.
- Experience in complex data environments including ETL/integration, Data Warehouses, Data Lakes, and Lakehouses.
- Familiarity with CRM, ERP, APIs, JSON, flat files, and RDBMS data sources.
- Knowledge of Agile ways of working, DataOps/DevOps practices, and CI/CD.
- Experience with data visualisation tools (Tableau preferred).
- A self-starter with curiosity, adaptability, and attention to detail.
Apply by clicking the 'Apply' button or sending your resume to sahuja@fourquarters.com.au
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