Sr Dataops Engineer (devops For Data)

Workday

Not specified; not specified; not specified
Hybrid (50% in-office, 50% remote)
8 years hands-on cloud-native data platform experience
3-5+ years implementing robust ci/cd pipelines
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 emphasizes collaboration with IT and Analytics Engineering to enhance data workflows and requires strong experience in DataOps principles and modern data tools

Job Summary

  • The team is dedicated to transforming how the enterprise creates and shares trusted data to drive actionable insights through modern DataOps practices.
  • This role involves implementing CI/CD automation for data workflows using tools like Snowflake, dbt, and GitHub to ensure rapid and reliable deployment.
  • Workday offers a flexible work approach combining in-person and remote time, requiring at least half of the quarter to be spent 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 emphasizes collaboration with IT and Analytics Engineering to enhance data workflows and requires strong experience in DataOps principles and modern data tools.

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
  • Proficiency with Snowflake dbt Airflow and FiveTran
  • Deep understanding of DataOps DevOps principles
  • Experience with automated environment provisioning and testing

Nice-to-have

  • Familiarity with data cataloging and lineage solutions
  • Knowledge of Atlan Acceldata for data quality
  • Strong communication skills for cross-functional collaboration
  • Passion for automation and efficiency improvement
  • Experience with Agile methodologies in DataOps

Key Requirements

  • 8 years of hands-on experience managing cloud-native data platforms
  • 6 years experience with Master's degree as alternative qualification
  • 3-5+ years of CI/CD pipeline implementation for data products
  • Demonstrated ability to translate business needs into data solutions

Work Rights

Not specified

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