AI Platforms Engineer

We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As 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. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.

We are looking for a passionate and hands-on Data Platform Engineer to help shape the future of our data ecosystem. In this role, you will tackle exciting technical challenges through independent research and close collaboration with our data engineering teams.

You will be instrumental in executing the overarching vision of our data platform. Drawing on your extensive experience delivering big data platforms and scalable pipelines in the public cloud, you will actively plan and drive a product roadmap that prioritizes efficiency, flexibility, and scalability to empower our internal teams.

As a Platform Engineer, your core focus will be building the foundational tools, frameworks, and infrastructure that empower our teams to operate efficiently and securely.

As a Platform Engineer, your primary objective will be to construct the essential infrastructure, frameworks, and tools necessary to enable our teams to function with maximum efficiency and security.

Key Responsibilities

• →Platform & Tooling Development: You will be responsible for the design, construction, and testing of scalable cloud data platforms. These capabilities will facilitate a self-service architecture tailored to empower cross-functional teams.
• →Security & Compliance: You will engineer tools designed to speed up workflows while strictly enforcing privacy protection, lineage, and data security. This applies to data both at rest and in transit, ensuring adherence to strict regulatory standards including PII, PCI, CCPA, SOX, and GDPR.
• →Reliability & Automation: You will boost the reliability of the platform by creating and refining internal tools that can automatically identify anomalies and data quality problems.
• →Technical Documentation: You will play a key role in contributing to and reviewing release notes and technical documentation. This effort will help guide users, promote best practices, and enhance the overall developer experience.
• →Strategic Architecture: You will design highly scalable solutions based on a profound understanding of our instance strategy and technology stack. A strong emphasis will be placed on the intelligent reuse of resources and alignment with the broader software development lifecycle.
• →Continuous Innovation: You will maintain a position at the cutting edge of industry trends. By actively evaluating novel packages and tools, you will continually expand the platform's capabilities and push boundaries.
• →Global Collaboration: You will engage in effective, seamless collaboration with partners and team members distributed across various time zones.

• 5+ years of experience in the field of data engineering.
• Strong hands-on experience with modern data stack technologies, including deep expertise in leveraging the Databricks platform.
• Proficiency in at least one core programming language commonly used in data engineering (e.g., Python, Scala, Java), coupled with advanced SQL skills.
• Extensive experience designing, building, and operating large-scale data pipelines in cloud environments (AWS, GCP, or Azure), utilizing Terraform for Infrastructure as Code (IaC) and GIT for version control and collaborative development workflows.
• Proven track record of leading teams to successfully deliver complex, cross-functional data projects from initial concept through to production deployment.
• Solid understanding of data modeling, data architecture, and performance optimization strategies for heavy analytical workloads.
• Strong communication and stakeholder management skills, demonstrating the ability to distill and explain complex technical concepts to non-technical business partners.

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