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Lead Engineer, Data Engineering

ResMed is a global leader in connected devices and digital health, empowering millions of people worldwide to sleep, breathe, and live better lives.
Data
Staff Software Engineer
In-Person
5,000+ Employees
10+ years of experience
Healthcare · Enterprise SaaS
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Description For Lead Engineer, Data Engineering

Global Technology Solutions (GTS) at ResMed is seeking a Lead Engineer in Data Engineering to join their innovative team. This role sits within the Analytics Engineering team of the Global Data Platform, focusing on designing and delivering impactful data solutions across the organization.

The position offers an opportunity to work at the forefront of healthcare technology, combining data engineering expertise with real-world healthcare challenges. As a Lead Engineer, you'll be responsible for driving the architecture and development of large-scale data processing systems and business intelligence applications.

ResMed, a global leader in connected devices and digital health, provides an environment where you can make a real impact on healthcare outcomes. The role involves working with cutting-edge technologies including Kafka, Flink, Snowflake, and modern data engineering tools. You'll be leading critical initiatives in real-time analytics, data warehouse development, and the creation of sophisticated data products.

The ideal candidate brings extensive experience in SQL, Python, and software development, combined with strong leadership abilities to guide junior engineers and champion best practices. This role offers the chance to work on meaningful projects that directly impact healthcare delivery while growing your career in a world-class tech ecosystem.

Working at ResMed means joining a culture driven by excellence, where individual expression is encouraged, and innovative ideas thrive. The company offers a collaborative, fast-paced environment where you can work alongside industry-leading data engineering experts while solving real-world healthcare challenges.

Last updated 19 days ago

Responsibilities For Lead Engineer, Data Engineering

  • Lead critical data architecture design and development activities for platforms
  • Architect and build data solutions using Kafka and Flink for real-time analytics
  • Craft sophisticated data models using SQL and dbt on Snowflake Platform
  • Lead the development of data products and services including dimensional data models
  • Lead a functional team, guiding junior engineers and championing best practices

Requirements For Lead Engineer, Data Engineering

Python
Kafka
  • Bachelor's degree in a STEM field
  • 10+ years of experience with SQL on large-scale analytics platforms
  • 10+ years in software development
  • 6+ years of hands-on experience with Python, version control systems, and data pipelines
  • 5+ years managing GitHub repositories and deploying cloud infrastructure using Terraform
  • 3+ years of hands-on experience with statistical methods, machine learning, or artificial intelligence