Workday
Principal DataOps Engineer (DevOps for Data)
$147K–$263K
USA, CA, Pleasanton +1 · Flex · Principal · Full-time · Posted Oct 30, 2026
- Location
- USA, CA, Pleasanton
USA, GA, Atlanta - Experience
- 12+ years in each of the three experience areas specified.
About the job
Leads the architecture, standards, and enterprise adoption of Workday’s data platform operations, governance, reliability, and AI-enabled delivery practices.
What you'll do
- Set long-term platform architecture, Infrastructure as Code standards, and CI/CD practices; mentor senior engineers.
- Lead resilience, incident-risk mitigation, technical review boards, and cross-team platform transformations.
- Establish DataOps and Active Data Governance practices and build AI agent networks to automate engineering workflows.
What they ask for
- 12+ years of technical leadership experience in DataOps, DevOps, cloud automation, program management, or platform engineering within enterprise data and analytics.
- 12+ years managing and scaling interrelated data platform products, cluster configurations, and CI/CD networks at enterprise level.
- 12+ years influencing VP- and SVP-level stakeholders to build technical consensus and drive organizational change.
- Expertise in distributed data platforms, Infrastructure as Code (Terraform), warehouse layouts, cluster budgeting, and pipeline orchestration.
Nice to have
- Hands-on experience or familiarity with GitHub Actions, Snowflake, Fivetran, Sigma, and Atlan (or similar enterprise data platforms).
Pay
$175,400 USD - $263,200 USD (base salary); $147,300 USD - $263,200 USD (base salary)
Tools
Terraform, GitHub Actions, Snowflake, Fivetran, Sigma, Atlan, Cursor IDE, Gemini
AI focus
Directs AI-forward validation and deployment, autonomous code generation, and division-level agent networks in Cursor IDE, Sana, and Gemini to automate refactoring, system validation, portfolio tracking, and infrastructure workflows.
Model-written summary · the original posting is authoritative