Lead Data Engineer

Global Technology Solutions (GTS) at ResMed is a division dedicated to creating innovative, scalable, and secure platforms and services for patients, providers, and people across ResMed. The primary goal of GTS is to accelerate well-being and growth by transforming the core, enabling patient, people, and partner outcomes, and building future-ready operations.

The strategy of GTS focuses on aligning goals and promoting collaboration across all organizational areas. This includes fostering shared ownership, developing flexible platforms that can easily scale to meet global demands, and implementing global standards for key processes to ensure efficiency and consistency.

What You'll Do

We're seeking a dynamic and experienced Lead Data Engineer to drive cutting-edge data solutions that will shape the future of healthcare technology. If you thrive in a fast-paced, innovative environment and have a passion for data engineering, cloud computing, and large-scale analytics, we want to hear from you

Join our Global Data Platform - an ambitious, collaborative team dedicated to designing and delivering impactful data solutions across ResMed. We partner closely with business stakeholders to build high-quality analytics products that fuel data-driven decision-making.

As a Lead Engineer, you'll be at the forefront of ResMed's data strategy, leading the architecture and development of scalable data systems and business intelligence applications.

This role offers a hybrid working environment , with time split between our Bella Vista office and working from home.

What You Bring

• Data Architecture : Lead design and development of core data architecture across platforms.
• Real-Time Analytics & Streaming : Build solutions using Kafka and Flink to enable real-time decision-making.
• Data Warehouse Development : Develop sophisticated data models using SQL and dbt on Snowflake .
• Cloud Infrastructure : Implement Infrastructure-as-Code using Terraform to manage analytics platforms.
• CI/CD & Automation : Drive automated deployment using GitHub Actions , manage repositories, and optimize workflows.
• Leadership & Mentorship : Guide junior engineers, champion best practices, and shape data strategy.

Must-Have Qualifications:

• Bachelor's degree in a STEM field.
• 10+ years of experience with SQL on large-scale analytics platforms.
• 10+ years in software development (requirements, coding, testing).
• 6+ years of hands-on experience with Python, version control, and data pipelines.
• 5+ years managing GitHub repositories and deploying cloud infrastructure using Terraform.

Preferred Qualifications:

• Experience with dbt , Dagster , and Snowflake .
• Master's degree in a STEM field.
• 12+ years of related experience in data engineering.

What We Offer:

• Competitive Salary Package – Rewarding your talent and contributions.
• Free Onsite Gym – Stay active and energized with convenient access to fitness facilities.
• Employee Stock Purchase Program – Share in our success with discounted stock options.
• Comprehensive Insurance Coverage – Including Life, Total & Permanent Disability (TPD), and Income Protection.
• Collaborative culture – work with industry-leading experts in a supportive, fast-paced environment.
• Career growth – thrive in a world-class tech ecosystem with global opportunities.

Joining us is more than saying "yes" to making the world a healthier place. It's discovering a career that's challenging, supportive and inspiring. Where a culture driven by excellence helps you not only meet your goals, but also create new ones. We focus on creating a diverse and inclusive culture, encouraging individual expression in the workplace and thrive on the innovative ideas this generates. If this sounds like the workplace for you, apply now We commit to respond to every applicant.