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Principal DataOps Engineer (DevOps for Data)
Workday, Inc. · Pleasanton, CA · Posted 7 days ago
Set the technical standards for DataOps and data governance across Workday's enterprise data platform, including architecture for AI agent networks that automate delivery at scale.
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About the Team In 2024, Workday launched the Enterprise Data and Analytics (ED&A) team with a mission to transform and optimize the way Workday creates and shares trusted data to drive actionable insights and data-led innovation across the enterprise. About the Role
As a Principal DataOps Engineer (P5), you serve as a preeminent technical authority, strategic leader, and primary architect of Workday’s data platform program execution and methodology deployment. Operating at the highest tier of individual contribution, you define the long-term vision, core execution standards, and multi-quarter roadmaps for a mission-critical infrastructure portfolio, ensuring our platforms are structurally positioned to support Workday's hyper-growth trajectory. You resolve high-level technical ambiguity, mitigate existential architecture risks, and lead complex multi-team transformations to deliver data-as-a-product assets at scale.
We are at the center of Workday's AI-forward operating model, defining and governing the structural use of DataOps, Data Product, and Active Data Governance frameworks across the enterprise ecosystem. We provide the overarching operational blueprints for embedding advanced AI capabilities into our continuous delivery lines, building language model solutions and automated workflows that safely power autonomous workloads. Concurrently, we lead the transition to an AI-first workforce, designing division-level agent networks inside Sana and Gemini environments to automate routine tasks, manage technical debt, and multiply organization-wide delivery velocity.
Key Responsibilities
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There are 406 open roles at Workday, Inc. right now. This role centers on Terraform, Infrastructure As Code, Ci/cd, and Dataops.
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