Principal DataOps Engineer at Workday
Workday, Inc.
Drive enterprise-level data solutions as a Principal DataOps Engineer at Workday in Toronto, Canada. This pivotal role shapes data platform strategies and supports AI transformation initiatives.
In this senior position, you will lead technical execution and architectural standards for Workday’s data infrastructure. Your responsibilities encompass driving complex infrastructure transformations and mentoring senior engineers while establishing essential governance standards. The role demands a proactive leadership presence and strategic collaboration across multiple teams to embed DataOps methodologies into our delivery pipelines.
Key Responsibilities: • Define long-term vision for cloud infrastructure architecture • Mentor engineers and set Infrastructure as Code standards • Lead knowledge management practices and ensure architectural clarity • Mitigate architecture risks and design reliability parameters • Sponsor cross-functional technical review boards for project alignment
Requirements: • 12+ years in DataOps or related technical leadership roles • Expertise in managing enterprise cloud automation • Proven ability to influence VP and SVP stakeholders • Experience with AI-forward operational frameworks • Strong knowledge of modern data stack technologies
Lead initiatives to enhance data capabilities and ensure operational resilience at Workday. #J-18808-Ljbffr
In this senior position, you will lead technical execution and architectural standards for Workday’s data infrastructure. Your responsibilities encompass driving complex infrastructure transformations and mentoring senior engineers while establishing essential governance standards. The role demands a proactive leadership presence and strategic collaboration across multiple teams to embed DataOps methodologies into our delivery pipelines.
Key Responsibilities: • Define long-term vision for cloud infrastructure architecture • Mentor engineers and set Infrastructure as Code standards • Lead knowledge management practices and ensure architectural clarity • Mitigate architecture risks and design reliability parameters • Sponsor cross-functional technical review boards for project alignment
Requirements: • 12+ years in DataOps or related technical leadership roles • Expertise in managing enterprise cloud automation • Proven ability to influence VP and SVP stakeholders • Experience with AI-forward operational frameworks • Strong knowledge of modern data stack technologies
Lead initiatives to enhance data capabilities and ensure operational resilience at Workday. #J-18808-Ljbffr
Reference: WJ-3875_12674832