Lead, Data Platforms Engineering (North Geelong)

Employment Details Location: Based at our Geelong Waterfront Campus or Burwood Campus with hybrid work arrangements. Hours: Full-time and fixed‑term (12 months). Compensation HEW 9: $138,102 – $146,374 plus 17% superannuation. Benefits We offer on‑site childcare, gym access, medical centres, cafés, accessible public transport, convenient parking, versatile working arrangements, generous leave entitlements including extended parental leave, option to purchase additional time off, and a range of staff discounts on travel and more. Responsibilities
- Lead platform operations: Manage and optimise data platforms, ensuring performance, reliability, and continuous improvement.
- Deliver modern, scalable solutions: Drive initiatives to enhance data storage, processing, integration, and long‑term sustainability.
- Oversee engineering services: Lead the development and operation of data pipelines, environments, and platform services to support enterprise reporting and analytics needs.
- Strengthen engineering practices and governance: Establish and embed best practices across DevOps, maintain documentation, and data lifecycle management, ensuring data quality, security, and compliance.
- Lead people and stakeholders: Mentor a high‑performing team, champion innovation, and partner with stakeholders to translate business needs into effective data solutions. Qualifications
- Robust background: Postgraduate qualifications or extensive experience in data platforms and cloud technologies, or an equivalent combination.
- Customer focus: Proven ability to understand stakeholder needs and translate them into high‑quality, user‑centric data solutions that drive measurable business value.
- Technical expertise: Experience with data engineering, data warehousing, and ETL/ELT tools with expertise in modern cloud platforms such as Azure Databricks and associated data tooling and architecture.
- Leadership in delivery: Demonstrated experience in designing, operating, and modernising scalable, secure enterprise data platforms. Application Process Please submit your updated resume and a short cover letter outlining your skills and experience. For a confidential discussion regarding this role, please contact Abhishek Joshi, Senior Manager, Business Intelligence Data Engineering at . Applications close on Sunday 17th May, 11:55pm. Diversity and Inclusion We value diversity and aim to build an inclusive environment that champions, embraces and respects differences. We support and encourage applications from Aboriginal and Torres Strait Islander people, and people of all abilities, cultures, sexual orientations, and genders. Pre‑Employment Safety and Suitability Checks In accordance with the National Higher Education Code to Prevent and Respond to Gender‑based Violence, appointment to this role is subject to successful completion of relevant pre‑employment checks, including Working With Children Checks and candidate gender‑based violence declarations. Candidates may be asked to declare whether they have been investigated for an allegation of Gender‑based Violence, or determined to have engaged in conduct that constitutes Gender‑based Violence during the course of their previous employment, or otherwise in a legal process. #J-18808-Ljbffr Apply on Kit Job: kitjobau.com/job/3rpx6f