Sr Dataops Engineer (devops For Data)

Workday

Hybrid (minimum 50% in-person time required quarterly)
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 by implementing CI/CD automation for data workflows. The ideal candidate should have a strong background in DataOps principles, experience in building CI/CD pipelines, and a passion for automation to enhance data-driven decision-making across the organization

Job Summary

  • The role involves implementing CI/CD automation to drive technical and business processes within a modern cloud-based data platform.
  • Candidates will collaborate with IT and Analytics Engineering to establish critical integrations between platforms like Snowflake, dbt, and Airflow.
  • Workday offers a flexible work approach combining in-person time with remote freedom, requiring at least half the quarter 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 by implementing CI/CD automation for data workflows. The ideal candidate should have a strong background in DataOps principles, experience in building CI/CD pipelines, and a passion for automation to enhance data-driven decision-making across the organization.

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 data security best practices and testing
  • Excellent communication and collaboration skills
  • Experience with Agile methodologies in DataOps
  • Passion for automation and efficiency improvement

Key Requirements

  • 8 years of hands-on experience managing cloud-native data platforms
  • 6 years with a master's degree as an alternative qualification
  • 3-5+ years of experience with core data orchestration tools

Work Rights

Not specified

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