Senior Data Modeler — Erwin & Azure Data Platform

Cognizant; Sydney; Sur place; AUD 150 000 - 190 000; Plein temps

Avantages offerts par ce poste

Career development

Education & training support

Competitive compensation & benefits

Résumé du poste

Cognizant is seeking an experienced Data Modeler to translate complex business requirements into scalable data models for enterprise platforms. You will collaborate with data engineers, architects, and governance teams to deliver secure, high‑performing data structures using Erwin, PySpark, SQL, and Azure services.

The role focuses on designing conceptual to physical models for data warehouses and lakehouses, with emphasis on data discovery, quality, and documentation across Azure Synapse, Delta

Qualifications

• 8–15 years of overall IT experience, with at least 5 years in data modelling/architecture roles.
• Minimum 3 years hands-on Erwin Data Modeler experience in complex enterprise environments.
• Proven delivery on Azure-based data warehouses, lakehouses, analytics, migrations, or modernisation programmes.

Responsabilités

• Design and maintain conceptual, logical, and physical data models for operational and analytical platforms.
• Use Erwin Data Modeler to create ER, dimensional, and domain models and physical designs.
• Translate business requirements into entities, attributes, relationships, keys, and rules.
• Design various modeling patterns (normalized, denormalized, dimensional, Data Vault, domain-oriented).
• Create fact and dimension models, define grain, measures, surrogate keys, and slowly changing dimensions.
• Develop and maintain mappings, data dictionaries, metadata, and model documentation.
• Collaborate with data engineers to implement models on Azure data services and lake storage.

Connaissances

Data modelling

Azure data technologies

PySpark

SQL

Data governance

Outils

Erwin Data Modeler

Azure Synapse Analytics

Azure Databricks

Azure SQL Database

Delta Lake

Description du poste

Cognizant is seeking an experienced Data Modeler to translate complex business requirements into scalable data models for enterprise platforms. You will collaborate with data engineers, architects, and governance teams to deliver secure, high‑performing data structures using Erwin, PySpark, SQL, and Azure services.

The role focuses on designing conceptual to physical models for data warehouses and lakehouses, with emphasis on data discovery, quality, and documentation across Azure Synapse, Delta