Workday is seeking a Senior DataOps Engineer to enhance its cloud-based data platform through CI/CD automation, focusing on collaboration and efficiency. The ideal candidate will have extensive experience in DataOps principles and a strong technical background to implement robust data solutions
Job Summary
The team is dedicated to transforming how the enterprise creates and shares trusted data to drive actionable insights through a modern DataOps methodology.
This role involves implementing robust CI/CD pipelines that automate infrastructure provisioning, testing, and linting stages for rapid data product deployment.
Workday offers a flexible work approach requiring at least half of the time in-office or in the field each quarter to foster community and connection.
Matching Summary
Match Score: 85
Workday is seeking a Senior DataOps Engineer to enhance its cloud-based data platform through CI/CD automation, focusing on collaboration and efficiency. The ideal candidate will have extensive experience in DataOps principles and a strong technical background to implement robust data solutions.
Skills & Requirements
Must-have
DataOps CI/CD pipeline implementation
Snowflake dbt Airflow FiveTran experience
Cloud-native data platform management
Automated environment provisioning and testing
6-8 years hands-on experience
Nice-to-have
Familiarity with Atlan Acceldata tools
Strong communication and collaboration skills
Knowledge of data lineage and quality solutions
Experience with Agile methodologies
Passion for automation and efficiency
Key Requirements
8 years hands-on cloud data platform experience
3-5+ years managing DataOps CI/CD pipelines
Deep practical understanding of DataOps principles
Proficiency in Snowflake, dbt, Airflow, and FiveTran
High level understanding of data modeling and ETL/ELT