ResMed's Global Technology Solutions (GTS) division aims to accelerate well-being and growth by transforming core operations, enabling better patient, people, and partner outcomes, and building future-ready operations through innovative, scalable, and secure platforms and services. Data is central to this transformation, and the Principal Data and AI/ML Platform Engineer will architect and lead initiatives to enhance ResMed's Data and AI Platform.
Requirements
- 10+ years architecting AI/ML and Data Platform solutions
- Experience building and scaling ML platforms for model training, deployment, and monitoring using large datasets
- Expertise in modern technology stacks, APIs, microservices, and cloud platforms
- Deep platform thinking with proven experience in large-scale data processing systems (batch and streaming) using AWS, Snowflake, Kafka, SQL, dbt
- Strong track record implementing Data Governance practices
Responsibilities
- Lead the technical evolution of data engineering, analytics, and AI/ML capabilities, ensuring incremental solution delivery and proactive risk management
- Develop deep technical expertise across data domains to guide cross-team initiatives and optimize productivity
- Set and maintain high standards for data quality, platform reliability, and security while addressing scalability challenges
- Drive strategic technical decisions that balance business needs with long-term sustainability across data engineering, analytics, and AI/ML initiatives
- Mentor and coach data engineering teams, collaborate with engineering leadership, and provide actionable feedback for team growth
- Effectively communicate technical concepts to both technical and non-technical stakeholders at all management levels
- Provide thought leadership in data architecture, governance, and technology selection to shape company-wide technical direction
Other
- BS/MS in Computer Science or equivalent experience
- Excellent communication skills with ability to present to all levels of leadership
- Demonstrated agile mindset focused on iterative improvement
- Employees scheduled to work 30 or more hours per week are eligible for benefits.
- This position qualifies for the following benefits package: comprehensive medical, vision, dental, and life, AD&D, short-term and long-term disability insurance, sleep care management, Health Savings Account (HSA), Flexible Spending Account (FSA), commuter benefits, 401(k), Employee Stock Purchase Plan (ESPP), Employee Assistance Program (EAP), and tuition assistance.
