Lead Engineer, Data Engineering

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Global Technology Solutions (GTS) at Res Med is a division dedicated to creating innovative, scalable, and secure platforms and services for patients, providers, and people across Res Med. 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.

Join Analytics Engineering within the Global Data Platform
—an ambitious team dedicated to designing and delivering impactful data solutions across Resmed. We work closely with business stakeholders to develop high‑quality analytics engineering products that fuel data‑driven decision‑making.

As a Lead Engineer, you will be at the forefront of Res Med’s data strategy, driving the architecture and development of large‑scale data processing systems and business intelligence applications. Your key responsibilities include:

• Architecture – leading critical data architecture design and development activities for our platforms.
• Real‑time Analytics & Streaming – architect and build data solutions using Kafka and Flink to support real‑time decision‑making across the organization.
• Large‑Scale Data Warehouse Development – craft sophisticated data models using SQL and dbt on our Snowflake Platform.
• Data products – lead the development of data products and services including dimensional data models, semantic layers used to drive business intelligence, predictive models, and recommender systems.
• Leadership & Mentorship – guide junior engineers and champion best practices in engineering and data strategy.

• Bachelor’s degree in a STEM field.
• 10+ years of experience with SQL on large‑scale analytics platforms.
• 10+ years in software development, including crafting requirements, coding, and testing.
• 6+ years of hands‑on experience with Python, version control systems, and data pipelines.
• 5+ years managing Git Hub repositories and deploying cloud infrastructure using Terraform.
• 3+ years of hands‑on experience using statistical methods, machine learning, or artificial intelligence to provide business insights or automate workflows.

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

We offer a comprehensive benefits package that includes medical, vision, dental, and life insurance, AD&D, short‑term and long‑term disability, Health Savings Account (HSA), Flexible Spending Account (FSA), commuter benefits, 401(k), Employee Stock Purchase Plan (ESPP), Employee Assistance Program (EAP), and tuition assistance. Employees have flexible time off, 11 paid holidays, 3 floating days, and up to 14 weeks of primary caregiver or two weeks of secondary caregiver leave.

• Mid‑Senior level

• Full‑time

• Engineering and Information Technology

• Software Development
• IT Services and IT Consulting
• Medical Equipment Manufacturing