Principal Dataops Engineer (devops For Data)

Harkett

Toronto, ON, Canada
Base: $142,800 - $214,200 cad; bonus/equity: eligi...
Fully remote
Dataops ci/cd pipeline implementation
Cloud-native data platform management
Automation and performance optimization
The team’s goal is to lead high value multi-functional data and analytics work and to establish and support the broader Workday analytics community by establishing modern, common ways of working, facilitating training and communication, and creating secure data and analytics brokering capability across business units

Job Summary

  • The team’s goal is to lead high value multi-functional data and analytics work and to establish and support the broader Workday analytics community by establishing modern, common ways of working, facilitating training and communication, and creating secure data and analytics brokering capability across business units.
  • This role will be instrumental in building and scaling our data platform to support data-driven decision-making across the organization.
  • We’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul.

Matching Summary

The team’s goal is to lead high value multi-functional data and analytics work and to establish and support the broader Workday analytics community by establishing modern, common ways of working, facilitating training and communication, and creating secure data and analytics brokering capability across business units.

Salary

Base: $142,800 - $214,200 CAD; Bonus/Equity: Eligible for Workday Bonus Plan and stock grants; Benefits: Comprehensive benefits package

Skills & Requirements

Must-have

  • DataOps CI/CD pipeline implementation
  • Cloud-native data platform management
  • Automation and performance optimization
  • Data platform security and governance
  • Collaboration with IT and Analytics teams
  • Test-driven development for data workflows

Nice-to-have

  • Strong communication and collaboration skills
  • Passion for automation and efficiency
  • Experience with agile methodologies
  • Familiarity with data cataloging and lineage
  • Thought leadership in DataOps

Key Requirements

  • 10+ years cloud-native data platform experience
  • 8+ years DataOps principles experience
  • 6+ years CI/CD pipeline implementation
  • 6+ years deployment and environment management
  • 4+ years with Snowflake, dbt, Airflow, FiveTran
  • Strong technical problem-solving skills
  • Experience with agile methodologies

Work Rights

Not specified

Tailored Resume

Cover Letter