Hybrid (flex work with at least 50% of time in the office or field each quarter)
Dataops ci/cd pipeline implementation
Snowflake dbt airflow fivetran experience
Cloud-native data platform management
Workday is seeking a Senior DataOps Engineer to optimize their cloud-based data platform through CI/CD automation and integration. The role requires strong experience in DataOps principles and modern data tools, and it offers the opportunity to work in a collaborative, supportive, and innovative environment
Job Summary
The role involves implementing CI/CD automation to drive technical and business processes within a modern cloud-based data platform.
Candidates must have a deep understanding of DataOps principles and experience managing data as a product using tools like Snowflake and dbt.
Workday offers a flexible work approach combining in-person and remote time, along with a culture rooted in integrity and shared enthusiasm.
Matching Summary
Match Score: 85
Workday is seeking a Senior DataOps Engineer to optimize their cloud-based data platform through CI/CD automation and integration. The role requires strong experience in DataOps principles and modern data tools, and it offers the opportunity to work in a collaborative, supportive, and innovative environment.
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 data platform experience
Nice-to-have
Experience with Atlan Acceldata data cataloging
Strong communication and collaboration skills
Knowledge of data lineage and quality solutions
Passion for automation and efficiency
Agile methodology application to DataOps
Key Requirements
8 years hands-on experience or 6 years with Master's degree
3-5+ years implementing robust CI/CD pipelines for data
Proficiency in deployment strategies and testing best practices
High level understanding of data modeling and ETL/ELT processes