Workday is looking for a Senior DataOps Engineer to enhance its cloud-based data platform through CI/CD automation, focusing on data-driven decision-making and collaboration across teams. The ideal candidate should possess strong DataOps principles, extensive experience with relevant tools, and a passion for automation
Job Summary
Implement and maintain DataOps CI/CD pipelines for rapid, reliable infrastructure and data product deployment, encompassing automated environment provisioning and management, testing, and linting stages.
Collaborate across the organization, including with IT and Analytics Engineering.
Implement automation and performance optimization to enhance ED&A data platform capabilities.
Matching Summary
Match Score: 85
Workday is looking for a Senior DataOps Engineer to enhance its cloud-based data platform through CI/CD automation, focusing on data-driven decision-making and collaboration across teams. The ideal candidate should possess strong DataOps principles, extensive experience with relevant tools, and a passion for automation.
Skills & Requirements
Must-have
DataOps CI/CD pipelines
cloud-based data platform
Snowflake, dbt, Atlan, Acceldata, Airflow, GitHub
automation and efficiency
data as a product methodology
Nice-to-have
curious minds and courageous collaborators
sun-drenched optimism and drive
data cataloging, lineage, quality solutions
strong knowledge of data security best practices
Key Requirements
8 years of hands-on experience
6 years with a masters degree
3-5+ years CI/CD pipelines for data platforms
3-5+ years with Snowflake, dbt, Airflow, FiveTran
High level understanding of data modeling, ETL/ELT