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
Proficiency in snowflake dbt airflow and fivetran
** Workday is seeking a Senior DataOps Engineer who will focus on optimizing their cloud-based data platform through CI/CD automation. The ideal candidate should have extensive experience in DataOps principles and managing data as a product, working collaboratively to drive data-driven decision-making. **

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 that drives both technical processes and business outcomes while coordinating with IT and Analytics Engineering teams.
  • 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: 75

** Workday is seeking a Senior DataOps Engineer who will focus on optimizing their cloud-based data platform through CI/CD automation. The ideal candidate should have extensive experience in DataOps principles and managing data as a product, working collaboratively to drive data-driven decision-making. **

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 in 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 data security best practices and testing
  • Strong communication skills for cross-functional collaboration
  • Experience with Agile methodologies in DataOps contexts

Key Requirements

  • 8 years of hands-on experience managing cloud-native data platforms
  • 6 years experience with a Master's degree as alternative qualification
  • 3-5+ years of hands-on CI/CD pipeline implementation for data products

Work Rights

Not specified

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