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Recently postedFull timeTechnology

Principal Engineer, Data & AI Platform

Lumiq TalentSydney, Sydney🇦🇺Australia

Quick overview

SalaryA$190k - A$205k/yr
SeniorityLeader
Employment typeFull Time
Work modeHybrid
LocationSydney, Sydney, Australia
SQLSnowflakeLLMPythonVaultdbtMachine Learning

Job description

About the company

Our client is a well established Australian financial services business. They are investing heavily in technology, data and AI to make their customers' journeys simpler, and their data platform sits at the centre of that strategy.

The opportunity

We are looking for a Principal Engineer to define and lead the evolution of an AI native data platform within Snowflake. Working at the intersection of data and AI engineering, you will set the technical direction, architecture and engineering practices that embed AI directly into the platform at scale.

What you will be doing
  • Platform architecture: define and lead the architecture of the AI native data platform in Snowflake.
  • Engineering standards: set design patterns and best practice for scalable, high performing and cost efficient data and AI solutions.
  • Enterprise modelling: lead the design of enterprise data models, including Data Vault and common data models.
  • In database AI: drive the adoption of LLM, vector and semantic workflows inside the platform.
  • Cross functional leadership: partner with AI engineers and platform teams to bring Snowflake hosted intelligence into enterprise applications.
  • Observability and governance: lead reliability, monitoring and governance practices across data and AI.
  • AI enabled engineering: shape how the team uses AI assisted development across the SDLC.
  • Mentorship: act as a trusted technical advisor and build a culture of engineering excellence.
What you bring
  • Deep experience with Snowflake, SQL, dbt and Python.
  • Hands on experience with Snowpark, Cortex and Snowflake ML.
  • Experience designing AI enabled data workflows, including LLM, vector, embedding or semantic use cases at scale.
  • Extensive experience with scalable data architectures and enterprise modelling (Data Vault, common data models or dimensional).
  • Strong understanding of data for machine learning, including feature engineering and production ML workflows.
  • A track record of setting architecture standards and leading the adoption of AI assisted development tools.
Why join
  • $190K to $205K base + super + 12.5% bonus.
  • Genuine work life balance with flexible, hybrid working.
  • A collaborative North Sydney office and a culture that backs innovation and continuous learning.

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