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Workday

Builds software to manage HR and finances

Principal DataOps Engineer - DevOps for Data

Cloud EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • 12 or more years of professional technical leadership experience in DataOps, DevOps, cloud automation, program management, or platform engineering within enterprise data and analytics.
  • 12 or more years of experience managing and scaling interrelated data platform products, cluster configurations, and continuous integration/continuous delivery networks at enterprise level.
  • 12 or more years of experience influencing vice president- and senior vice president-level stakeholders to drive technical consensus and cross-functional organizational pivots.
  • Expert-level technical command of high-scale distributed data platforms, capital asset cluster budgeting, modern warehouse layouts, Infrastructure as Code using Terraform, and hyperscale pipeline orchestration boundaries.
  • Master-level capability directing AI-forward validation and deployment frameworks, setting branch benchmark policies for autonomous code generation loops, and designing division-level agent networks to eliminate manual infrastructure workflows.
  • Comprehensive expertise using federated active metadata layers and predictive data trust telemetry to embed compliance logic in global platform environments and manage complex asset lifecycles.
  • Capacity to navigate high-pressure corporate environments and complex technical landscapes to secure consensus across competing business units, acting as a change agent and thought leader for DevOps and engineering communities.

Responsibilities

  • Define the long-term vision, execution standards, and multi-quarter architecture blueprints for mission-critical enterprise cloud infrastructure.
  • Govern global platform administration paradigms, Terraform architecture standards, and continuous integration/continuous delivery pipelines; mentor senior engineers and establish foundational infrastructure modules across the organization.
  • Establish and govern function-wide knowledge synchronization standards and Documentation as Code paradigms across global DevOps and Analytics Engineering job families.
  • Mitigate infrastructure and architecture risks across the global enterprise; design high-scale zero-trust data reliability parameters and predictive platform telemetry layers to maintain data platform uptime.
  • Sponsor and chair cross-functional technical review boards; align technical direction across business segments, drive multi-team infrastructure transformations, navigate platform migration blocks, and manage capital resource planning.
  • Establish and govern operational blueprints that embed DataOps and Active Data Governance principles into software continuous delivery pipelines.
  • Build division-level agent networks and automated scripts in Cursor IDE, Sana, and Gemini to automate code refactoring, system validation, and portfolio tracking at enterprise scale.

Desired Qualifications

  • Hands-on experience or familiarity with GitHub Actions, Snowflake, Fivetran, Sigma, and Atlan, or similar enterprise data platforms.

About the Company

Workday

Builds software to manage HR and finances

Workday builds cloud software that organizations use to manage employees, finances, and business plans. Its Human Capital Management and Financial Management applications handle processes such as hiring, payroll, expenses, accounting, and reporting, while Adaptive Planning helps teams build budgets and forecasts. Users work in connected applications with shared data and permissions, and Workday also sells AI tools that search information and carry out HR and finance tasks. Customers pay for subscriptions, with additional revenue from implementation, training, and other professional services. Workday was founded in 2005 and is headquartered in Pleasanton, California.

Company size
10,001+
Company stage
IPO
Headquarters
Pleasanton, CA
Founded
2005

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