Sr Dataops Engineer (devops For Data)

Workday

Not specified; not specified; not specified
**
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 enhance their cloud-based data platform through implementing CI/CD automation and collaborating with various teams. The ideal candidate should have extensive experience in DataOps principles and tools, with a strong focus on automation and data quality. Workday promotes a flexible, inclusive culture and values integrity, empathy, and collaboration. **

Job Summary

  • The team is dedicated to transforming how the enterprise creates and shares trusted data to drive actionable insights through a modern cloud-based technical stack.
  • This role involves implementing CI/CD automation for data workflows while coordinating with IT and Analytics Engineering to establish critical platform integrations.
  • Workday offers a flexible work approach combining in-person time and remote options, requiring at least half of the time each quarter to be spent in the office or field.

Matching Summary

Match Score: 75

** Workday is seeking a Senior DataOps Engineer to enhance their cloud-based data platform through implementing CI/CD automation and collaborating with various teams. The ideal candidate should have extensive experience in DataOps principles and tools, with a strong focus on automation and data quality. Workday promotes a flexible, inclusive culture and values integrity, empathy, and collaboration. **

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 understanding of DataOps DevOps principles
  • Experience with automated environment provisioning and testing

Nice-to-have

  • Familiarity with data cataloging lineage and quality solutions
  • Strong knowledge of data security best practices
  • Excellent communication and social collaboration skills
  • Passion for automation and efficiency improvement
  • Experience with agile methodologies in DataOps tasks

Key Requirements

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

Work Rights

Not specified

Tailored Resume

Cover Letter