Lead Data Engineer | Azure Enterprise Data Platform
Most organisations talk about AI. This business is investing in the data foundations that actually make AI possible.
If you've ever wanted the opportunity to build an enterprise data platform the right way, rather than inherit years of technical debt, this is a rare chance to shape its future from the ground up.
I'm partnering with one of Australia's most respected organisations, with more than 50 years of success and a significant investment underway in Data, AI and modern engineering capabilities.
As Lead Data Engineer, you'll lead one of the organisation's most significant technology transformations. Today, critical business data lives across multiple legacy systems that don't seamlessly connect. Your role will be to bring these disparate data sources together into a modern, centralised enterprise data platform, creating a single source of truth that enables better business decisions, trusted reporting, and the data foundations required for AI and advanced analytics.
This is a genuine leadership opportunity for someone who enjoys remaining hands-on while influencing architecture, engineering standards and the long-term technology roadmap.
What you'll be doing
- Lead the transformation of multiple disconnected legacy systems into a modern, centralised enterprise data platform.
- Design and build a modern enterprise data platform using Microsoft Azure technologies.
- Develop scalable, production-grade data pipelines using Azure Data Factory and Azure Databricks.
- Define enterprise data architecture, modelling standards and engineering best practice.
- Establish DataOps processes, CI/CD pipelines and platform governance.
- Partner with architects, software engineers and business stakeholders to deliver data solutions that create real business value.
What you'll bring
You'll ideally have:
- Proven experience leading the design and delivery of enterprise-scale data platforms.
- Strong hands-on experience with Azure Data Factory and Azure Databricks.
- Experience designing and delivering enterprise-scale data platforms.
- Deep knowledge of ETL/ELT, SQL and modern data modelling.
- Experience implementing DataOps, CI/CD and modern engineering practices.
- Strong stakeholder engagement skills and the ability to influence technical direction.
Experience with Microsoft Fabric, Azure Synapse, Spark or other modern cloud data platforms would be highly regarded, but isn't essential.
Why this opportunity?
- Lead one of the organisation's most significant technology transformations.
- Build a centralised enterprise data platform that becomes the single source of truth for the business.
- Influence architecture, engineering standards and technology decisions from the ground up.
- Work alongside a growing AI & Innovation function shaping the organisation's future.
- Enjoy genuine ownership, autonomy and the opportunity to leave a lasting technical legacy.
If you're looking for the opportunity to solve complex engineering challenges, modernise legacy platforms and build the data foundations that will power AI across the business, we'd love to hear from you - apply now!