A large Australian enterprise is investing heavily in AI and building the data foundations to put AI agents into production across the business. Most AI programs stall because the data underneath isn't ready. This team exists to fix that, and they need a hands‑on Snowflake engineer to help.

The role

You'll design and build the Snowflake platforms that agentic AI and GenAI solutions run on. That means ingesting and modelling enterprise data, building reliable pipelines, tuning performance and getting governance right so agents can access trusted, secure data at scale. You'll work alongside AI engineers and architects, from early design through to production, partnering closely with business teams across the organisation.

What you'll bring
Recent hands‑on Snowflake delivery: virtual warehouses, clustering, query optimisation, streams and tasks
Solid SQL and Python
Production ELT pipeline experience with tools such as dbt, Airflow, Fivetran or Matillion
Cloud experience in AWS,



Azure or GCP
Data modelling (star/snowflake schema) and data quality fundamentals
Snowflake security and governance: RBAC, masking policies, resource monitoring
Git and CI/CD as standard practice
Comfortable working with business stakeholders to shape requirements
Australian citizenship or PR

Positive to have
Snowflake Cortex, Cortex Search or vector search
Snowpark (Python, Java or Scala)
Experience preparing data for GenAI use cases such as RAG and embeddings
Terraform or infrastructure as code
Financial Services industry experience

What's on offer
Market-competitive salary matched to level, mid to senior
Hybrid, Sydney or Melbourne
Permanent
Direct exposure to production agentic AI work, not just reporting pipelines
J-18808-Ljbffr

📌 Snowflake Engineer Sydney (Australia)
🏢 Tekfinder
📍 Australia