Lead DataOps Engineer Role at Workday
Workday, Inc.
Become a Lead DataOps Engineer at Workday in Toronto, Canada, and specialize in enterprise data platform management. This key role combines architecture leadership with AI innovation strategies.
As a Principal DataOps Engineer, you'll architect comprehensive solutions to drive Workday's data platform execution. Your focus will be on ensuring data reliability, managing technical risks, and guiding senior engineers in best practices. You will also champion the integration of DataOps and Active Data Governance into business strategies, facilitating collaborative project outcomes across teams.
Key Responsibilities: • Architect long-term data solutions for enterprise cloud • Lead Infrastructure as Code standards development across teams • Create knowledge synchronization and tracking practices • Design predictive telemetry for data platform uptime • Manage capital resource planning during migrations
Requirements: • Minimum 12 years in DataOps or cloud automation leadership • Extensive experience in enterprise-level product management • Documented influence on senior technical stakeholders • Familiarity with AI-native methods and technologies • Strong capability in data governance and observability
Shape the future of data governance and integration within Workday's innovative culture. #J-18808-Ljbffr
As a Principal DataOps Engineer, you'll architect comprehensive solutions to drive Workday's data platform execution. Your focus will be on ensuring data reliability, managing technical risks, and guiding senior engineers in best practices. You will also champion the integration of DataOps and Active Data Governance into business strategies, facilitating collaborative project outcomes across teams.
Key Responsibilities: • Architect long-term data solutions for enterprise cloud • Lead Infrastructure as Code standards development across teams • Create knowledge synchronization and tracking practices • Design predictive telemetry for data platform uptime • Manage capital resource planning during migrations
Requirements: • Minimum 12 years in DataOps or cloud automation leadership • Extensive experience in enterprise-level product management • Documented influence on senior technical stakeholders • Familiarity with AI-native methods and technologies • Strong capability in data governance and observability
Shape the future of data governance and integration within Workday's innovative culture. #J-18808-Ljbffr
Reference: WJ-3875_12805550