Principal Dataops Engineer (devops For Data)

Workday

Toronto, ON, Canada
Base: $142,800 - $214,200 cad; bonus/equity: eligi...
Fully remote
Dataops ci/cd pipelines
Cloud-native data platforms
Data as a product
Workday launched an Enterprise Data and Analytics team with a mission to transform and optimize the way Workday creates and shares trusted data to drive actionable insights and data-led innovation across the enterprise

Job Summary

  • Workday launched an Enterprise Data and Analytics team with a mission to transform and optimize the way Workday creates and shares trusted data to drive actionable insights and data-led innovation across the enterprise.
  • 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.
  • 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

Workday launched an Enterprise Data and Analytics team with a mission to transform and optimize the way Workday creates and shares trusted data to drive actionable insights and data-led innovation across the enterprise.

Salary

Base: $142,800 - $214,200 CAD; Bonus/Equity: Eligible for Workday Bonus Plan or role-specific commission/bonus, annual refresh stock grants; Benefits: Comprehensive benefits package

Skills & Requirements

Must-have

  • DataOps CI/CD pipelines
  • cloud-native data platforms
  • data as a product
  • Snowflake, dbt, Atlan, Acceldata, Airflow, GitHub integration
  • monitoring and alerting systems
  • test-driven development for data

Nice-to-have

  • sun-drenched optimism and drive
  • courageous collaborators
  • data cataloging, lineage, quality solutions
  • strong knowledge of data security best practices

Key Requirements

  • 10+ years implementing cloud-native data platforms
  • 8+ years DataOps principles and methodologies
  • 6+ years implementing CI/CD pipelines for data
  • 6+ years deployment strategies for data products
  • 4+ years core data platforms and orchestration tools
  • Agile methodologies experience

Work Rights

Not specified

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