Principal DataOps Engineer - AI Data Platform Leader

Workday, Inc.

United States

On-site

USD 180,000 - 230,000

Full time

5 days ago
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Job summary

Workday, Inc. in the United States seeks a Principal DataOps Engineer (P5) to lead the data platform program execution and set architectural standards across the enterprise cloud.

You’ll define the long-term vision, drive multi-quarter roadmaps, and mentor engineers while delivering data-as-a-product assets at scale. You will shape DataOps, Data Product, and Active Data Governance, embed AI capabilities into delivery lines, and orchestrate cross-team transformations to sustain growth.

Qualifications

  • 12+ years of professional leadership in DataOps/DevOps or platform engineering within enterprise data and analytics.
  • Experience managing and scaling data platform products, cluster configurations, and CI/CD networks.
  • Experience operating at senior leadership levels and guiding multi-team transformations.

Responsibilities

  • Define long-term vision and core execution standards for the data platform portfolio.
  • Lead multi-quarter roadmaps and architecture blueprints for enterprise cloud infrastructure.
  • Govern global platform administration paradigms and Infrastructure as Code standards.
  • Mentor senior engineers and develop foundational infrastructure modules.
  • Establish and govern data governance, data product, and DataOps methodologies.
  • Advance AI-first workforce strategies by integrating AI capabilities into delivery pipelines.

Skills

DataOps leadership
DevOps
cloud automation
program management
platform engineering

Tools

Terraform
CI/CD pipelines

Job description

Workday, Inc. in the United States seeks a Principal DataOps Engineer (P5) to lead the data platform program execution and set architectural standards across the enterprise cloud.

You’ll define the long-term vision, drive multi-quarter roadmaps, and mentor engineers while delivering data-as-a-product assets at scale. You will shape DataOps, Data Product, and Active Data Governance, embed AI capabilities into delivery lines, and orchestrate cross-team transformations to sustain growth.

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