Dataops Engineer (devops For Data)

IKSB

Toronto, ON, Canada
Base: $95,200 - $142,800 cad; bonus/equity: eligib...
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 look for curious minds and courageous collaborators who bring sun-drenched optimism and drive, and we provide the trust, tools, skills, and support for long-term growth.

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: $95,200 - $142,800 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
  • Integration with Snowflake, dbt, Airflow
  • Test-driven development for data pipelines
  • Data governance and security standards

Nice-to-have

  • Excellent communication and collaboration
  • Familiarity with data cataloging tools
  • Agile methodologies in DataOps
  • Passion for automation and efficiency
  • Experience with data lineage and quality solutions

Key Requirements

  • 4+ years cloud-native data platform experience
  • 4+ years practical DataOps/DevOps experience
  • 4+ years CI/CD pipeline implementation experience
  • Experience with Snowflake, dbt, Airflow, FiveTran
  • Masters degree with 2+ years experience preferred
  • Experience with ETL/ELT and data warehousing
  • Ability to work onsite 50% in Toronto office

Work Rights

Not specified

Tailored Resume

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