Principal Engineer, Data & AI Platform

Lumiq Talent; Sydney; Hybrid; AUD 190,000 - 205,000; Full time

Job summary

Lumiq Talent's client, a leading Australian financial services business, seeks a Principal Engineer to architect and lead an AI-native data platform on Snowflake. You will set technical direction, define patterns for scalable data and AI solutions, and lead enterprise modelling from Data Vault to dimensional models.

Hybrid work with a North Sydney office is offered. You will drive LLM, vector and semantic workflows inside the platform, collaborate with AI engineers, and mentor the team to ensure

Qualifications

• Deep experience with Snowflake, SQL, dbt and Python.
• Hands-on with Snowpark, Cortex and Snowflake ML.
• Experience designing AI-enabled data workflows at scale.
• Experience with scalable data architectures and enterprise modelling.

Responsibilities

• Define and lead the architecture of the AI native data platform in Snowflake.
• Set design patterns for scalable, high performing data and AI solutions.
• Lead enterprise data modelling including Data Vault and common data models.
• Drive AI-enabled workflows and embedding AI into the platform at scale.
• Partner with AI engineers and platform teams to bring Snowflake hosted intelligence to enterprise apps.
• Lead reliability, monitoring and governance across data and AI.
• Shape how the team uses AI-assisted development across the SDLC.
• Mentor and act as a technical advisor to build engineering excellence.

Skills

Snowflake

SQL

dbt

Python

LLM workflows

Vector workflows

Semantic modeling

Architecture standards

Tools

Snowpark

Cortex

Snowflake ML

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.