Data Full Stack Engineer (Workday ERP & Databricks)

Data Full Stack Engineer (Workday ERP & Databricks) Job Summary We are seeking a Data Full Stack Engineer with strong expertise in Workday ERP (Finance & HCM) and modern data engineering platforms (Databricks) . The ideal candidate will own the end-to-end data lifecycle , including extraction of Workday data, building scalable pipelines, and delivering analytics-ready datasets for Finance and HR use cases. This role bridges ERP domain knowledge and data engineering , enabling reliable and governed data solutions in a Lakehouse architecture. Key Responsibilities Workday Integration & Data Extraction Design and develop integrations to extract data from: Workday Financial modules (GL, AP, AR, Invoicing, Supplier/Customer data) Workday HCM modules (Workers, Compensation, Absence, Recruiting) Build and maintain: RaaS (Reports-as-a-Service) WQL (Workday Query Language) reports Develop integrations using:

REST / SOAP

APIs Manage:

Integration System Users (ISUs) Security roles and access controls Data Engineering (Databricks) Build scalable ETL/ELT pipelines using: PySpark Spark SQL Delta Lake Design and implement: Lakehouse architecture (Bronze / Silver / Gold layers) Optimize pipelines for: Performance Reliability Cost efficiency Data Modeling & Transformation Develop enterprise-scale data models Transform Workday data into: Analytics-ready datasets Ensure data quality and consistency

Data Governance & Security Implement:

Data quality checks Validation frameworks Monitoring and alerting

Manage:

Access control Data lineage Compliance requirements Business & Analytics Enablement Collaborate with: Finance, HR, and Analytics teams

Deliver:

Reporting datasets Dashboards (Power BI / Tableau)

Support:

Business insights and decision-making Collaboration & Agile Delivery Work in Agile/Scrum environments Partner with: Workday consultants Data engineers Business stakeholders Required Skills Workday Expertise (MANDATORY) Workday Financial Management (GL, AP, AR, etc.) Workday Reporting (RaaS, WQL) Workday integrations (REST/SOAP APIs) Data Engineering Databricks (Azure preferred) PySpark, Spark SQL, Delta Lake ETL/ELT pipeline development Programming & Databases Python SQL (Advanced) Data modeling Cloud Azure (preferred) / AWS / Google Cloud Platform Additional Skills Data governance & security CI/CD pipelines API integration Experience Required 5-10 years of experience

Minimum:

3+ years in Workday 3+ years in Databricks / data engineering Good to Have Power BI / Tableau Unity Catalog (Databricks governance) Experience with Finance & HR analytics Knowledge of AI/ML data pipelines