Financial Services/AI, Data Platform Lead

Toronto

Applications have closed

About the Company:

  • Company size: ~300 People
  • Industry: Financial Services, AI
  • TechnologyFounding year: 2012
  • Key Tech: Python, Google Cloud Services, CI/CD, Docker, Agile

We're looking for a Data Platform Lead to:

  • Innovate & Collaborate: Design scalable, efficient solutions and work closely with cross-functional teams to gather requirements and define project goals. Your work will be a part of transformative products that leverage ML, CV, and NLP.
  • Create and Execute: an overall plan for the data architecture, leveraging the existing technology and implementing new to drive data excellence.
  • Code Excellence: Write and maintain clean, high-quality code, and provide constructive feedback through code reviews.
  • Problem-Solving: Debug, troubleshoot, and resolve issues to ensure optimal performance and reliability.
  • Continuous Improvement: Stay updated with industry trends, research new technologies, and mentor junior developers.
  • Agile Methodologies: Participate in Agile ceremonies and contribute to improving development processes and workflows.

What you'll need:

  • Technical Expertise: 5+ years of software development experience with strong skills across a variety of data tools & technology, architecture, and Google Cloud services.
  • Leadership: Proven ability to lead projects and teams to successful outcomes.
  • Cloud & DevOps: Hands-on experience with CI/CD, Pre-Commit methods, Mypy, Ruff, Poetry, GitHub, and Docker.
  • Best Practices: Ability to maintain and enhance inherited code, ensuring adherence to best coding practices across your team and as an individual.
  • Agile Experience: Proficiency in Agile methodologies such as Scrum, Lean, or Kanban.
  • Educational Background: Bachelor’s degree or equivalent practical experience.

What you'll get:

  • Competitive Compensation: Attractive salary package with comprehensive benefits.
  • Hybrid Work Environment: A balanced work model to foster collaboration and flexibility.
  • Innovative Projects: Opportunity to work on groundbreaking projects in a fast-paced environment.
  • Career Growth: Be part of a forward-thinking team with opportunities for mentorship and professional development.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile Architecture CI/CD DevOps Docker GCP GitHub Google Cloud Kanban Machine Learning NLP Python Research Scrum

Perks/benefits: Career development Competitive pay Startup environment

Region: North America
Country: Canada

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