Lead Data Modeler - Snowflake, ETL/ELT & Enterprise Modeling in Melbourne

Lead Data Modeler - Snowflake, ETL/ELT & Enterprise Modeling in Melbourne

Melbourne Full-Time 58500 - 71500 $ / year (est.) On-site
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At a Glance

  • Tasks: Design enterprise data models on Snowflake and lead data-modelling workshops.
  • Company: CareCone Group, a forward-thinking company based in Melbourne.
  • Benefits: Competitive salary, flexible work arrangements, and opportunities for professional growth.
  • Other info: Collaborate with top teams to ensure data quality and governance.
  • Why this job: Shape the future of data analytics and make a significant impact in a dynamic environment.
  • Qualifications: Experience in data modelling and knowledge of ETL/ELT processes.

The predicted salary is between 58500 - 71500 $ per year.

Care Cone Group in Melbourne seeks an experienced Data Modeller/Architect to design enterprise data models on Snowflake and translate business needs into scalable data structures for analytics and reporting.

You will run data-modelling workshops, define standards, and collaborate with ETL/ELT teams to ensure governance, data quality, and consistency across source systems such as SAP and Oracle.

Lead Data Modeler - Snowflake, ETL/ELT & Enterprise Modeling in Melbourne employer: CareCone Group

CareCone Group is an exceptional employer located in the vibrant city of Sydney, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from ongoing professional development opportunities, competitive remuneration, and a supportive environment that values work-life balance. Joining our team means being part of a forward-thinking organisation dedicated to delivering high-quality IT solutions while ensuring compliance with Australian working rights.

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Contact Details:

CareCone Group Recruitment Team

We think you need these skills to ace Lead Data Modeler - Snowflake, ETL/ELT & Enterprise Modeling in Melbourne

Communication Skills
Python
Data Governance
Data Engineering
Data Pipeline Development
Data Quality Assurance
Data Warehousing