Principal Dataops Engineer (devops For Data)

Evisort

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.
  • In return, 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

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: Not specified

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 in data pipelines
  • Integration with Snowflake, dbt, Airflow

Nice-to-have

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

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 experience with Snowflake, dbt, Airflow, FiveTran
  • Strong technical problem-solving skills
  • Experience with agile methodologies
  • Open to 50% onsite in Toronto office

Work Rights

Not specified

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