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 early 

Requirements  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

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