Workday Data Engineer

Job Description

Job Description

Job Responsibilities Design, build, and maintain scalable ERP data pipelines for platforms such as Workday and enterprise systems Own end‑to‑end lifecycle of ERP data pipelines (ingestion → transformation → delivery) Support data conversion and migration initiatives (e.g., M& A, system integrations) Ensure pipeline reliability, recoverability, and stable production operations Troubleshoot pipeline failures and resolve root causes of data defects and operational issues Partner with business analysts and stakeholders to translate requirements into data solutions Implement and enforce SDLC best practices (version control, code reviews, CI/CD, release management) Develop and maintain data quality controls (freshness, completeness, anomaly detection, schema management) Detect and manage schema drift and downstream data issues proactively Build and maintain monitoring, alerting, and observability for data pipelines Optimize performance, scalability, and cost of data workloads Track operational KPIs (e.g., pipeline success rates, SLAs, incident trends, recovery times) Create runbooks, documentation, and audit‑ready operational processes Collaborate with data governance, security, and compliance teams on controls and data access Support analytics, reporting, and integration teams with reliable, well‑governed datasets Communicate effectively with technical and non‑technical stakeholders and escalate risks earlyRequirements Minimum of 7 years of experience to include but not limited to the following: Data engineering, ETL/ELT development, or enterprise data integration Operating production data pipelines end‑to‑end, including monitoring, testing, and support Strong experience applying SDLC best practices, including version control, code reviews, and CI/CD Strong SQL skills and programming experience (e.g., Python) ERP, finance, or enterprise application data in a complex environment Preferred Qualifications Experience working with Workday data, integrations, or reporting Familiarity with Workday Finance and/or detail oriented Services Automation (PSA) domains Experience supporting ERP‑based financial, operational, or project analytics Experience in regulated or audit‑focused environments Familiarity with data governance, lineage, and cataloging tools Experience with orchestration and modern data pipeline tooling Performance optimization and cost management of data platforms Strong documentation and operational runbook development practices Experience collaborating with cross‑functional business and technical teams Knowledge of enterprise data access controls and audit support processes