AI Platforms Engineer

Workday Inc; Pune District; Hybrid; INR 1,800,000 - 2,400,000; Full time

Job summary

Workday Inc in Pune is seeking a passionate Data Platform Engineer to help shape the future of our data ecosystem. You will tackle exciting challenges through independent research and close collaboration with our data engineering teams.

Drawing on your experience delivering big data platforms and scalable pipelines in the public cloud, you will drive a product roadmap that prioritizes efficiency, flexibility, and scalability for internal teams.

Responsibilities

• Platform & Tooling Development: design, construction, testing of scalable cloud data platforms to enable a self-service architecture for cross-functional teams.
• Security & Compliance: engineer tools to speed workflows while enforcing privacy, data lineage and security across data at rest and in transit, complying with PII, PCI, CCPA, SOX, GDPR.
• Reliability & Automation: improve platform reliability by building internal tools to detect anomalies and data quality issues.
• Technical Documentation: contribute to release notes and technical docs to guide users and promote best practices.
• Strategic Architecture: design scalable solutions aligned with our instance strategy and reusability principles.
• Continuous Innovation: stay at the cutting edge by evaluating new packages and tools to expand platform capabilities.
• Global Collaboration: work with partners and teams across multiple time zones.

Job description

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.

Responsibilities

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.