Shape the future of data at Morningstar as a Lead Software Engineer. This role focuses on cloud-native platforms and data pipeline architectures to drive innovation and efficiency.
As a Lead Software Engineer within the Data Feed Platform team, you will influence the technical direction for data engineering initiatives. You'll be pivotal in migrating legacy systems to a unified cloud-native architecture while guiding a team of engineers through best practices in data governance and optimization. Your expertise is essential for ensuring reliable data delivery and fostering a culture of continuous improvement.
Key Responsibilities:
- Lead architectural decisions for data feeds and engineering functions
- Collaborate on migrating legacy products to cloud-native systems
- Design scalable data delivery mechanisms for diverse platforms
- Communicate architectural vision to stakeholders across teams
- Mentor engineers and drive alignment in engineering practices
Requirements:
- 7+ years in data engineering or distributed systems
- Proficiency in cloud platforms (AWS preferred)
- Experience with SQL and Python programming
- Knowledge of containerization tools like Docker and Kubernetes
- Hands-on experience with cloud storage solutions
Leverage your expertise in data engineering and cloud platforms to make impactful contributions at Morningstar.
Data Engineering Lead at Morningstar in Toronto employer: Morningstar
At Morningstar, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to innovate and excel. As a Senior Software Engineer in AI Systems Integration, you'll enjoy the benefits of a collaborative hybrid environment, opportunities for professional growth, and the chance to make a significant impact on investment research through cutting-edge AI technologies. Join us to be part of a team that values creativity, continuous learning, and meaningful contributions.
