Description
We’re Workday, a Fortune 500 company and a leading AI platform for managing people, money, and agents. We're shaping the future of work so teams can reach their potential and focus on what matters most.
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.
Key Responsibilities
- Technical Delivery: Serve as the preeminent technical authority defining the long-term vision, core execution standards, and multi-quarter architecture blueprints for a mission-critical enterprise cloud infrastructure portfolio.
- Knowledge Management: Establish and govern function-wide knowledge synchronization standards and "Documentation as Code" paradigms across the global DevOps and Analytics Engineering job families.
- Incident Response & Operational Resilience: Mitigate existential infrastructure and architecture risks across the global enterprise.
- Agile Operational Facilitation: Sponsor and chair cross-functional technical review boards to align technical direction across competing business segments.
- ED&A Methodologies: Establish and govern the core operational blueprints for embedding DataOps and Active Data Governance principles directly into our master software continuous delivery pipelines.
- AI Productivity: Pioneer the implementation of an AI-first workforce strategy by building division-level agent networks and automated scripts.
Requirements
- 12+ years of professional technical leadership experience in DataevOps, DevOps, cloud automation, program management, or platform engineering tracks within enterprise data and analytics.
- 12+ years of experience in managing and scaling a suite of interrelated data platform products, cluster configurations, and CI/CD networks at an enterprise level.
- Modern Data Stack & Cloud Foundations: Expert-level technical command over high-scale distributed data platforms, capital asset cluster budgeting, modern warehouse layouts, Infrastructure as Code (Terraform), and hyperscale pipeline orchestration boundaries.
Benefits
- Annualized base salary ranges: $175,400 USD - $263,200 USD (Primary Location: Pleasanton, CA)
- $147,300 USD - $263,200 USD (Additional US Locations)
- Workday Bonus Plan or a role-specific commission/bonus
- Annual refresh stock grants
- Comprehensive benefits (details available upon request)
- Flex Work: Combine in-person time and remote work, spending at least 50% of time each quarter in the office or in the field