Snowflake Engineer

TekFinder; Sydney; Hybrid; AUD 150,000 - 210,000; Full time

Benefits offered by this job

Hybrid work (Sydney/Melbourne)

Job summary

This Australian enterprise is building AI foundations and needs a hands-on Snowflake engineer to design and run the platforms that GenAI solutions rely on. You will ingest and model enterprise data, build reliable pipelines, tune performance and establish governance so agents access trusted, secure data at scale.

You will work with AI engineers and architects from design to production, partnering with business stakeholders to shape requirements, and you will bring strong Snowflake delivery

Qualifications

• Recent hands-on Snowflake delivery: virtual warehouses, clustering, query optimisation, streams and tasks.
• Strong 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.

Responsibilities

• Design and build the Snowflake platforms that agentic AI and GenAI solutions run on.
• Ingesting and modelling enterprise data, building reliable pipelines, tuning performance and governance.

Skills

Snowflake delivery

SQL

Python

ELT pipelines

Cloud platforms

Security & governance

Git & CI/CD

Stakeholder engagement

Australian PR

Tools

dbt

Airflow

Fivetran

Matillion

Snowflake Cortex

Snowpark

Job description

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
• Strong 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

Good 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

• Competitive salary matched to level, mid to senior
• Hybrid, Sydney or Melbourne
• Permanent
• Direct exposure to production agentic AI work, not just reporting pipelines