Sr Dataops Engineer (devops For Data)

Workday

Not specified; not specified; not specified
Flexible work - at least 50% of time in-office each quarter
8 years hands-on cloud-native data platform experience
3-5+ years implementing robust ci/cd pipelines for data
Proficiency with snowflake dbt airflow and fivetran
Workday is seeking a Senior DataOps Engineer to optimize their cloud-based data platform through CI/CD automation. The role requires a strong understanding of DataOps principles and experience with modern data tools, aiming to enhance data-driven decision-making within the organization

Job Summary

  • The role involves implementing and maintaining DataOps CI/CD pipelines to drive rapid and reliable infrastructure and data product deployment.
  • Candidates will collaborate across the organization with IT and Analytics Engineering to establish critical integrations between platforms.
  • Workday offers a flexible work approach combining in-person time and remote work, requiring at least half of the time each quarter in the office or field.

Matching Summary

Match Score: 85

Workday is seeking a Senior DataOps Engineer to optimize their cloud-based data platform through CI/CD automation. The role requires a strong understanding of DataOps principles and experience with modern data tools, aiming to enhance data-driven decision-making within the organization.

Salary

Not specified; Not specified; Not specified

Skills & Requirements

Must-have

  • 8 years hands-on cloud-native data platform experience
  • 3-5+ years implementing robust CI/CD pipelines for data
  • Proficiency with Snowflake dbt Airflow and FiveTran
  • Deep practical understanding of DataOps principles
  • Experience integrating tools into CI/CD automation

Nice-to-have

  • Familiarity with data cataloging and lineage solutions
  • Knowledge of data security best practices
  • Excellent communication and social skills
  • Ability to collaborate with non-technical team members
  • Track record of improving efficiency through automation

Key Requirements

  • 8 years of hands-on experience managing cloud-native data platforms
  • 6 years experience with a master's degree as alternative
  • 3-5+ years of hands-on CI/CD pipeline implementation experience
  • Strong technical problem-solving skills for debugging pipelines

Work Rights

Not specified

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