EA

Workday Integrations & Data Architect

EarnIn
Remote, MexicoPosted 8 May 2026

Job Description

About EarnIn As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks. We’re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We’re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey. POSITION SUMMARY Own Workday integrations end-to-end, driving reliable data flow and scalable system design. Elevate architecture standards while bridging technical and business stakeholders. Enable high-quality user experiences through automated testing, reporting, and AI-driven insights. The Workday Integrations Data Specialist is responsible for designing, building, and maintaining integrations between Workday and internal or third-party systems. This role ensures accurate, secure, and timely data flow across HR, payroll, finance, IT, and benefits platforms while supporting reporting, automation, AI-enabled insights, and scalable system design. This role partners closely with HRIS, IT, Finance, Payroll, Core HCM architects, and external vendors to ensure Workday functions as a reliable system of record within a cohesive technology ecosystem. This is a remote position that offers the opportunity to make a meaningful impact in a dynamic, fast-paced fintech environment. EarnIn offers excellent employee benefits, including healthcare, internet and cell phone reimbursement, a learning and development stipend, and potential opportunities to travel to our headquarters in Mountain View. Our salary ranges are determined by role, level, and location. WHAT YOU'LL DO Workday Integrations Data Management Design, build, test, and maintain Workday integrations using tools such as EIB, Core Connectors, Workday Studio, and APIs Manage integrations across payroll, benefits, identity management, finance systems, data warehouses, and other HR platforms Ensure data integrity through transformation logic, mapping, and bulk data operations Monitoring, Reporting Data Delivery Monitor integrations, troubleshoot failures, and resolve data discrepancies Develop and maintain reporting, data feeds, and pipelines to support HR, Finance, and business intelligence platforms Proactively identify issues using logs, reporting, and automated alerts Architecture, Automation AI Act as a bar raiser for integration and data architecture, promoting best practices in scalability, performance, cost efficiency, and user experience Drive architectural decisions that balance cost, performance, and end-user experience Identify and implement automation and AI-enabled solutions to improve data quality, anomaly detection, and operational efficiency Partner with engineering and data teams to support AI-ready data pipelines Testing, Validation User Experience Support cross-functional testing and validation efforts through automated reporting, data checks, and failure detection Partner with functional teams (e.g., Talent, Payroll, Benefits) to enable effective test plans and issue identification Contribute to a high-quality user experience by ensuring data accuracy and system reliability across workflows Collaboration Communication Partner with Core HCM architects and business process administrators across SKUs, including Talent and Advanced Compensation, to ensure cohesive, end-to-end system design Translate complex technical concepts into clear insights for non-technical audiences Collaborate across HR, IT, Finance, and vendors to align solutions with business needs Security Compliance Ensure integrations meet securi ... (truncated, view full listing at source)
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