# Principal DataOps Engineer (P5)

**Company**: Workday
**Location**: Pleasanton, CA
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $175,400 USD - $263,200 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://workday.wd5.myworkdayjobs.com/en-US/Workday/job/USA-CA-Pleasanton/Principal-DataOps-Engineer--DevOps-for-Data-_JR-0111033?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_6c3a6151-c73

## 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

## Skills

### Required
- DataOps
- DevOps
- cloud automation
- platform engineering
- Infrastructure as Code (Terraform)

### Nice to have
- GitHub Actions
- Snowflake
- Fivetran
- Sigma
- Atlan

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Source: [Apply at workday.wd5.myworkdayjobs.com](https://workday.wd5.myworkdayjobs.com/en-US/Workday/job/USA-CA-Pleasanton/Principal-DataOps-Engineer--DevOps-for-Data-_JR-0111033?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)