We're partnering with a well-established Australian business investing heavily in data, AI, and digital innovation.

This is a key leadership role within a newly formed AI & Data function, with a strong focus on building out a modern data platform on AWS + Databricks.

You'll play a central role in shaping how data is leveraged across the business - from foundational platform build through to enabling advanced analytics and AI use cases.

What you'll be doing:

• Leading the design and build of a Databricks-based data platform on AWS
• Driving data innovation across AI/ML, advanced analytics, and digital initiatives
• Architecting scalable data pipelines (ETL/ELT) using modern, cloud-native patterns
• Partnering with senior stakeholders to identify and deliver data-driven opportunities
• Establishing best practices across data engineering, governance, and platform design
• Mentoring and guiding engineers within a growing data team

What we're looking for:

• Strong experience in data engineering / data platform architecture
• Hands-on experience with Databricks (this is critical)
• Strong AWS experience (Glue, Redshift, Athena, Lambda etc.)
• Solid Python and SQL skills
• Experience building modern data platforms (lakehouse / medallion architecture)
• Exposure to AI/ML or working alongside data science teams
• Strong stakeholder engagement skills

Nice to have:

• Experience in greenfield or transformation environments
• Exposure to streaming / real-time data pipelines
• Experience operating in large, complex organisations

Why this role:

• Opportunity to shape a Databricks-first data platform from the ground up
• Strong investment in cloud, data, and AI
• High visibility role with access to senior leadership
• Long-term impact across a well-known Australian business