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Workday is seeking a Senior DataOps Engineer to optimize their cloud-based data platform through CI/CD automation and collaboration with various teams. The role emphasizes a hands-on approach to implementing DataOps principles, and the company values integrity, empathy, and a supportive culture.
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Job Summary
The team is dedicated to transforming how the enterprise creates and shares trusted data to drive actionable insights through a modern Data Product methodology.
This role involves implementing CI/CD automation that drives technical and business processes while coordinating with IT and Analytics Engineering teams.
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
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Workday is seeking a Senior DataOps Engineer to optimize their cloud-based data platform through CI/CD automation and collaboration with various teams. The role emphasizes a hands-on approach to implementing DataOps principles, and the company values integrity, empathy, and a supportive culture.
**
Salary
Not specified; Not specified; Not specified
Skills & Requirements
Must-have
DataOps CI/CD pipeline implementation
Snowflake dbt Airflow integration
Cloud-native data platform management
Automated environment provisioning
Test-driven development for data
Nice-to-have
Experience with Atlan Acceldata tools
Strong communication and social skills
Knowledge of data lineage solutions
Passion for automation and efficiency
Agile methodology application experience
Key Requirements
8 years hands-on experience with cloud-native data platforms
6-8 years total professional experience required
3-5+ years implementing robust CI/CD pipelines for data
Master's degree acceptable alternative to 2 years experience reduction