Data Designer

• Melbourne
• Permanent / Fulltime
• Hybrid - 3 days WFO
• Full Australian Working Rights

Key Responsibilities

1. Data Modelling & Design

• Develop conceptual, logical, and physical data models for analytics, integration, and operational use cases.
• Design entity relationships, data flows, canonical models, ddl, and metadata structures.
• Ensure data designs align with enterprise architectures, data principles, and domain-driven design.

2. Requirements & Stakeholder Engagement

• Collaborate with product owners, business SMEs, and data analysts to understand business processes and translate them into data requirements.
• Facilitate data design workshops to clarify rules, definitions, transformations, and relationships.

3. Solution Delivery Support

• Work closely with data engineers to ensure models are correctly implemented in data platforms (e.g., lakehouse, data warehouse, semantic layers).
• Provide guidance on data integration, ingestion patterns, transformation rules, and optimisation of storage structures.
• Review data pipeline designs to ensure consistency with modelling artefacts.

Skills & Experience

Essential

• Strong experience in data modelling (e.g., dimensional, relational, data vault, domain modelling).
• Proficiency with modelling tools (e.g., ER/Studio).
• Solid understanding of ETL/ELT, data pipeline design, and modern data platforms.
• PL/SQL, Redshift, Thrift, EMR Studio
• Excellent communication skills, able to translate complex data concepts into understandable language.
• Experience working in Agile delivery environments.

Desirable

• Domain experience in Insurance/BFSI industry.

Interested candidates EASY APPLY.