AI Job Summary
Advanced Snowflake SQL and performance optimization for scalable transformations.
Hands-on experience with reusable dbt frameworks, models, macros, packages, testing, and deployment.
Experience migrating data solutions from Teradata or other legacy platforms to Snowflake.

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Role Type

Contract • Full time • Mid-level Senior

Description

Responsibilities
Design and develop scalable Snowflake-based data transformation solutions.
Build and maintain reusable dbt frameworks, models, macros, and templates.
Develop enterprise data models and transformation standards.
Implement automated testing, data-quality controls, and validation frameworks.
Manage model lineage, dependencies, and workplace promotion processes.
Support CI/CD implementation and Git-based development practices.




Drive migration and modernization initiatives from legacy data platforms to Snowflake.
Collaborate with platform engineering teams to ensure alignment with enterprise standards.

Mandatory Skills
Advanced Snowflake SQL and performance optimization skills.
Robust hands-on dbt experience including macros, packages, testing, and deployment.
Data modelling and transformation engineering expertise.
Experience implementing automated testing and data quality frameworks.
Strong Git, CI/CD, and DevOps practices.
Experience migrating data solutions from Teradata or other legacy platforms.
Strong understanding of enterprise data architecture and engineering principles.

📌 Senior Snowflake / Dbt Engineer Sydney
🏢 Employment Hero
📍 Sydney