Principal Engineer, Data and AI Platforms - Remote

Overview

As a Principal Engineer, Data and AI Platforms at Workday, you will lead engineering efforts to evolve our Data and AI platform, focusing on automation, scalability, and reliability.

In Short

• Lead engineering for Data and AI platforms.
• Design scalable data solutions and ML/AI systems.
• Champion data platform principles and best practices.
• Optimize data ingestion and transformation processes.
• Collaborate with cross-functional teams.
• Implement CI/CD and Infrastructure as Code.
• Establish architectural standards for data workloads.
• Drive continuous improvement in DataOps and MLOps.
• Mentor engineers on best practices.
• Stay updated on data and AI technologies.

Requirements

• 8+ years in Data Engineering, DataOps, or related fields.
• 5+ years with CI/CD and Infrastructure as Code tools.
• Experience with major cloud platforms (AWS, Azure, GCP).
• 4+ years with data platforms like Snowflake or Databricks.
• Bachelor’s degree in Computer Science or related field.
• Proven ability to lead multi-functional teams.
• Strong understanding of data management and governance.
• Excellent communication and leadership skills.
• Problem-solving skills in technical environments.
• Ability to work in a fast-paced team environment.

Benefits

• Flexible work schedule with a blend of in-office and remote work.
• Participation in the Workday Bonus Plan.
• Annual refresh stock grants.
• Comprehensive benefits package.
• Inclusive and diverse workplace culture.
• Opportunities for professional development.