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Snowflake Engineer
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- Full-time
- Azure
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- AWS
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Snowflake Engineer

Accenture -
Melbourne VIC

Apply Now

Job Details

Full-time

Qualifications

Performance tuning
Data modelling
Azure
Google Cloud Platform
SQL
AWS
Security
AI
Communication skills
Data warehouse

Full Job Description

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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