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Описание вакансии
Текст:
TL;DR
Manager of Data Engineering (Fintech): Building foundational datasets, scalable data pipelines, and AI-enabled tooling for financial products with an accent on data quality, discoverability, and reliable large-scale systems. Focus on leading a Toronto-based engineering team, planning technical roadmaps, reviewing architecture, and developing semantic models and metadata for people and AI.
Location: Toronto, Canada; in-person attendance required 5 days per week
Base pay: CAD 200,000–235,000 per year, plus bonus opportunities, equity, and benefits.
Company
Robinhood is a financial technology company building products and infrastructure to democratize finance.
What you will do
- Lead, coach, and grow a team of 10 data engineers in Toronto.
- Balance people management with hands-on technical leadership, including code and architecture reviews.
- Define roadmaps and execution plans for core data engineering initiatives.
- Build platforms using semantic models, metadata, and developer tooling to make data discoverable and reusable by people and AI.
- Partner with Data Science, Machine Learning, Product Management, and Business Operations to deliver reliable data products.
- Develop scalable data pipelines and foundational datasets supporting product expansion and business operations.
Requirements
- 3+ years of experience as an engineering manager and 5+ years of prior software or data engineering experience.
- Strong hands-on experience with Python and Apache Spark.
- Familiarity with AWS and data technologies such as Databricks, Delta Lake, Flink, or Pinot/Druid.
- Experience building and maintaining reliable, large-scale data pipelines and foundational datasets.
- Ability to clarify ambiguous requirements, plan projects, and guide engineering execution independently.
- Ability to work in the Toronto office 5 days per week.
Culture & Benefits
- Performance-driven compensation with bonus programs and equity ownership.
- Supplemental health insurance, ancillary insurance, and mental health support.
- Access to AI tools and continuous AI skill-building.
- Flexible lifestyle wallet covering wellness, childcare, learning, and other expenses.
- Paid time off, sick time, company holidays, volunteer time off, and parental leave.
- Catered meals, office events, comfortable workspaces, and a monthly commuter stipend.
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