Senior Data Engineer (AI) - Snowflake

About the role

An established, listed financial services organisation based in Sydney is adding a senior engineer to its data and AI team. This is an individual contributor role focused on building, with most of the time spent in the company's Snowflake environment, extending it so AI runs alongside the data rather than outside it. The person works day to day with AI engineers and partners with teams wanting to put AI to use.

Key responsibilities

• Develop data pipelines and products in Snowflake, adding AI enrichment as data lands
• Run LLM and vector search workloads inside the platform instead of moving data out
• Create data models that serve reporting and AI equally well, using Data Vault and dimensional methods
• Set up monitoring and alerts that keep AI and data workloads healthy
• Help AI engineers connect platform outputs to applications, and guide business teams from idea to working solution

Required profile

• Deep hands-on Snowflake, SQL, dbt and Python; Snowpark is a bonus
• Experience using Cortex or other Snowflake AI functions on live work
• Some experience with LLMs, embeddings or vector search
• A strong data modeller, with Data Vault knowledge preferred
• Understanding of how data must be shaped for ML, including features
• Wants to work with AI coding assistants and can explain technical work in plain language

What we offer

• $210k package
• Hybrid set-up
• Early hands-on access to Snowflake's AI tooling as the platform grows
• Room to influence how the platform evolves