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. Click on the 'Apply' button or send your resume to sahuja@fourquarters.com.au