Data Manager

Data Engineering Manager📍 Toronto, ON (Hybrid – 2 days/week or 8 days/month onsite)Our client is a global financial technology leader focused on delivering cutting-edge data solutions and digital innovation to clients worldwide. They’re seeking an experienced Data Engineering Manager to lead and mentor a team while owning the architecture and delivery of large-scale data platforms.In this role, you’ll design and optimize Databricks-based data solutions, perform Python code reviews, validate design decisions, and drive technical excellence across the engineering team. You’ll work hands-on with AWS or Azure services to build scalable, secure, and high-performing data pipelines.What You’ll Do:Lead a team of data engineers and own the data architecture end-to-endDesign, implement, and optimize Databricks Lakehouse and data pipelinesConduct code reviews and ensure high-quality, maintainable Python codeManage integration with AWS or Azure cloud servicesChampion CI/CD, security, and performance best practicesWhat You Bring:5+ years of hands-on experience with Databricks and Apache Spark (must-have)Proven leadership and experience in Python code reviews and design validationStrong background with AWS or Azure cloud ecosystemsExpertise in data architecture, ETL frameworks, and performance optimizationExcellent communication and stakeholder management skillsProcess: 2 interview rounds — one will be onsite in Toronto.Join a collaborative team that values innovation, ownership, and technical depth — where you’ll have the freedom to shape architecture and mentor engineers in a flexible hybrid environment.