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Salary: CAD 200,000 - 235,000 / annual
Robinhood is seeking an Engineering Manager for its Core Data Engineering team in Toronto. The mission is to democratize finance for all, and the company is building elite teams applying frontier technologies to solve major financial problems.
About the Role:
You will lead a team of approximately 10 data engineers based in Toronto, balancing people management (60% of time) with hands-on technical contributions (40% of time). The Core Data Engineering team is responsible for designing and building foundational datasets used across Robinhood's business, including data models, core data layers, and internal data and AI tooling. You will drive roadmap planning, establish clear goals, and collaborate with Data Science, Machine Learning, Product Management, and Business Operations teams.
Key Responsibilities:
- Lead, coach, and expand an exceptional team of 10 data engineers, setting high standards for execution and growth
- Actively participate in technical execution including code reviews, architecture assessment, data quality assurance, and unblocking technical challenges
- Define roadmaps and execution plans for core data engineering initiatives, translating ambiguous requirements into clear engineering goals
- Build a platform that makes Robinhood's data discoverable, understandable, and usable for both people and AI through semantic models, metadata, and developer tooling
- Partner with Data Science, ML, and Business Operations teams to build and maintain reliable, scalable data pipelines and foundational datasets supporting product expansion and business operations
The role is based in the Toronto office with in-person attendance expected 5 days per week. Robinhood emphasizes in-person work to accelerate progress, spark innovation, and strengthen community.
Leadership Expectations:
Robinhood expects leaders to drive high performance by setting clear, focused goals and giving real-time feedback; hire and retain top talent by setting a high bar; and create community by connecting work to purpose, removing friction, building trust and inclusion, and leading with integrity.
Compensation and Benefits:
The role includes performance-driven compensation with multipliers for outsized impact, bonus programs, and equity ownership. Additional benefits include supplemental health insurance, mental health support, access to AI tools, a lifestyle wallet for flexible benefits spending, generous time off including parental leave, and a monthly commuter stipend.
Requirements:
- 3+ years of experience as an engineering manager, with 5+ years of prior experience as a software engineer or data engineer
- Strong hands-on experience with Python and Apache Spark
- Familiarity with cloud platforms like AWS and data technologies such as Databricks, Delta Lake, Flink, or Pinot/Druid
- Proven ability to drive clarity in ambiguous situations, take ownership of project planning, and guide engineering execution without relying on dedicated project managers
- Demonstrated track record of building and maintaining reliable, large-scale data pipelines and foundational datasets
