Data Management Engineer
Workday
- Location
- POL, Remote
- Work model
- Remote
- Level
- Mid
- H-1B history
- 103 approvals (FY2023)
- Posted
- Sep 9, 2026
Skills
About this role
Your work days are brighter here. 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.
About the Team
In 2024, Workday launched an Enterprise Data and Analytics (ED&A) team with a mission to transform and optimize the way Workday creates and shares trusted data to drive actionable insights and data-led innovation across the enterprise. The team has introduced a new, cloud-based technical stack, a data product methodology anchored in the principles of DataOps, an Active Data Governance methodology to manage the quality and discovery of data, and a series of modern analytics tools that facilitate discovery, analysis, visualization, machine learning, and AI. The team’s goal is to lead high-value cross-functional data and analytics work and to support the broader Workday analytics community by establishing modern, common ways of working, facilitating training and communication, and creating secure data and analytics brokering capability across business units.As part of ED&A and enabling this strategy, the Enterprise Data Operations and Governance team drives the creation of policies, procedures, and operating models that improve the overall quality, reliability, and observability of data across Workday. This role is crucial in proactively monitoring and improving the health and availability of our data ecosystem.Works on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. Exercises judgment in selecting methods, techniques and evaluation criteria for obtaining results. Networks with key contacts outside their own area of expertise. Determines methods and procedures on new assignments and may coordinate activities of other personnel.The ideal candidate is a Data Power-User with a passion for storytelling and governance. You have a track record of taking messy datasets and turning them into clean, structured assets. You are highly analytical, comfortable working in complex CRM environments, and have the seniority to prioritize high-value projects in a fast-paced, agile setting.
About the Role
Basic Qualifications Education: Bachelor’s degree or equivalent experience in Computer Science, Business Management, Sales Operations, or a related field.
Experience
4+ years of experience in Data Management, Data Operations, or Sales Ops. SQL Proficiency: Strong ability to write and execute SQL queries to extract, analyze, and validate data. CRM Expertise: Advanced knowledge of Salesforce (managing objects, data relationships, and reporting). Data Visualization: Proven experience building and maintaining high-level Sigma Dashboards (or similar tools like Tableau/Sheets) to track data quality and business KPIs.
Preferred Qualifications
Snowflake Knowledge: Practical experience using Snowflake as a primary data source (querying, basic data navigation, and understanding data structures). Data Governance: