Principal Dataops Engineer (devops For Data)

ZeroAOG

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
We are seeking a hands-on Principal of DataOps Engineering to help optimize our data cloud-based platform by implementing CI/CD automation that drives technical and business processes

Job Summary

  • We are seeking a hands-on Principal of DataOps Engineering to help optimize our data cloud-based platform by implementing CI/CD automation that drives technical and business processes.
  • 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.
  • Our approach enables our teams to deepen connections, maintain a strong community, and do their best work by combining the best of both worlds: in-person time and remote.

Matching Summary

We are seeking a hands-on Principal of DataOps Engineering to help optimize our data cloud-based platform by implementing CI/CD automation that drives technical and business processes.

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
  • Data workflow integration with Snowflake and dbt
  • Test-driven development in data pipelines
  • Collaboration with IT and Analytics Engineering

Nice-to-have

  • Strong communication and social skills
  • Familiarity with data cataloging tools
  • Experience with agile methodologies
  • Passion for automation and efficiency
  • Thought leadership in DataOps
  • Knowledge of data security best practices

Key Requirements

  • 10+ years cloud-native data platform experience
  • 8+ years DataOps principles experience
  • 6+ years CI/CD pipeline implementation
  • 6+ years deployment and testing automation
  • 4+ years with Snowflake, dbt, Airflow, FiveTran
  • Masters degree preferred with 8+ years experience
  • Open to 50% onsite in Toronto office

Work Rights

Not specified

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