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Accenture Australia Linkedin · Posted 2d ago

Snowflake Engineer

Australia

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Job Description: Join our dynamic Data & AI practice as a Snowflake Engineer, where you’ll be delivering high impact client-facing data transformation initiatives across industries.

As a Snowflake Engineer you will be responsible for designing, developing, and managing data solutions using the Snowflake cloud data platform. You will be responsible for creating data pipelines, managing ETL/ELT processes, optimizing data storage and retrieval, and designing scalable data architectures. You’ll have the opportunity to leverage the latest tools to enable our clients with modern, AI ready Data Platforms.

Our Snowflake practice continues to go from strength to strength, having been awarded the Snowflake APJ Data Cloud Services Innovation Partner of the Year 2025, Snowflake Marketers & Advertisers Data Cloud Services Partner of the Year 2025, and the Global Data Cloud Services Implementation Partner of the Year in 2024.

We are embedding Gen AI into the solutions we deliver for our clients, and in how we deliver them, making Accenture’s Data & AI team a fantastic place to make an impact and grow your career.

Project Description / Key Responsibilities:

  • Designing and building Data Products on Snowflake
  • Data Pipeline Development
  • Data Modelling and Mapping
  • Snowflake Integration with major cloud platforms (Azure, AWS or GCP)
  • Leveraging data engineering tools like dbt
  • Performance Optimisation
  • Programming and Data Modelling

    • Key Skills:

  • Highly proficient in SQL programming for writing complex queries to extract manipulate, and analyse data from Snowflake
  • Proficiency in any one of the following languages - Python, Java or Scala
  • Strong experience in setting up and managing Snowflake infrastructure
  • Advanced knowledge of Snowflake security, RBAC, performance tuning, and optimisation
  • Hands-on experience with at least one Cloud platforms (Azure, AWS or GCP)
  • Minimum 5+ years in Data Engineering and Data Warehousing
  • Expertise in ETL/ELT processes and tools
  • Good communication skills and ability to learn quickly.

    • Location: Melbourne, Sydney, Brisbane, Canberra

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