Principal Engineer - Platform & Data

Accountabilities:

• • Shape platform architecture, including platform blueprints, engineering standards, and technical best practices.
  • Define and evolve data architecture and strategy, including how platform-generated data is structured, stored, processed, and leveraged.
  • Design and deliver scalable, resilient, robust, and cost-efficient services aligned with established platform architecture.
  • Remain hands-on in technical delivery through coding, architecture, design reviews, and targeted implementation work.
  • Identify and resolve complex challenges involving scalability, performance, resilience, reliability, and cloud costs.
  • Act as a senior technical advisor across engineering teams, influencing decisions and supporting adoption of architectural standards.
  • Contribute to technical roadmap planning and prioritization of platform improvements.
  • Support technical scoping and estimation for complex initiatives and RFPs.
  • Produce clear technical documentation, architecture artifacts, and decision materials for technical and non-technical stakeholders.
  • Improve how architecture principles and standards are understood and applied across engineering and the wider organization.
  • Contribute to technical forums and working groups, including API and architecture governance.

  Requirements:

  • Extensive experience designing and evolving distributed systems and microservices architectures.
  • Previous experience operating at Principal, Staff, Architect, or equivalent senior technical level, with responsibility for technical direction across multiple teams or domains.
  • Strong ability to remain hands-on and contribute across architecture, design, coding, reviews, and delivery.
  • Strong experience with cloud platforms, preferably AWS, and modern infrastructure practices.
  • Proven experience making thoughtful trade-offs involving system scale, reliability, performance, resilience, and cost.
  • Strong data architecture experience, including data platforms, pipelines, data warehouses, data lakes, or products built on large data stores.
  • Ability to transform loosely defined business or technical problems into clear, actionable technical approaches.
  • Strong communication skills and ability to explain complex technical concepts clearly to both technical and non-technical audiences.
  • Experience creating or contributing to engineering standards, architecture patterns, platform blueprints, or broader technical direction.
  • Strong experience with REST API design in complex, multi-service environments, ideally including understanding of frontend API consumption.
  • Interest in or exposure to AI-enabled systems and an understanding of their architectural implications in production.
  • Experience breaking monolithic applications into microservices is a plus.
  • Experience with event-driven architectures, including Kafka and schema governance, is a plus.
  • Experience improving cloud cost efficiency and system performance at scale is a plus.
  • Familiarity with Kotlin, Java, DynamoDB, MySQL, Snowflake, Databricks, Spark, Terraform, and GitLab CI/CD is advantageous.
  • Strong judgment, ownership, adaptability, collaboration, and willingness to learn are important for success in the role.

  Benefits:

  • 20 days of annual vacation, in addition to public holidays.
  • Company-wide closure between Christmas and New Year, bringing total annual vacation time to 28+ days.
  • Private healthcare and life insurance.
  • Menopause support.
  • Choice of workstation.
  • Annual training allowance of up to CAD $1,300.
  • CAD $325 per year toward home-office expenses.
  • CAD $50 per month for team-building activities.
  • Ability to work from any country in the world for up to 3 months per year.
  • Enhanced family leave.
  • Fully remote work for candidates located in the East Coast timezone in Canada.
  • Opportunity to shape platform and data architecture across multiple engineering teams.
  • Broad technical ownership spanning distributed systems, cloud infrastructure, data platforms, and emerging AI-enabled systems.