Staff Software Engineer, Metadata – Lead Data Platform in Toronto

Staff Software Engineer, Metadata – Lead Data Platform in Toronto

Toronto Full-Time 128003 - 156448 $ / year (est.) On-site
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At a Glance

  • Tasks: Lead the Metadata team and own key services for the dbt platform.
  • Company: Join Fivetran, a leader in data integration with a focus on innovation.
  • Benefits: Enjoy competitive salary, health benefits, and opportunities for remote work.
  • Other info: Fast-paced environment with great potential for career advancement.
  • Why this job: Tackle challenging problems and make a significant impact in the data space.
  • Qualifications: Experience in software engineering and a passion for mentoring others.

The predicted salary is between 128003 - 156448 $ per year.

Fivetran is seeking a Staff Software Engineer to lead the Metadata team and own the discovery API, catalog, lineage, and run history services that power the dbt platform. You will shape the technical direction, own major subsystems, and elevate design and code quality across the team.

You'll spend time on the hardest problems, mentor engineers, and raise the bar for reliability, performance, and SDLC discipline, collaborating across teams and stakeholders in a fast-moving data platform.

Staff Software Engineer, Metadata – Lead Data Platform in Toronto employer: Fivetran

Fivetran is an exceptional employer that fosters a collaborative and innovative work culture, allowing remote Senior Orchestration Engineers to thrive while working with cutting-edge technologies like Python and Rust. With a strong emphasis on employee growth and development, Fivetran offers ample opportunities for professional advancement, making it an ideal place for those seeking meaningful and rewarding employment in the tech industry.

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Contact Details:

Fivetran Recruitment Team

We think you need these skills to ace Staff Software Engineer, Metadata – Lead Data Platform in Toronto

Technical Leadership
API Development
System Design
Code Quality Assurance
Mentorship
Reliability Engineering
Performance Optimization