Data Full Stack Engineer (Workday ERP & Databricks)

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Purple Drive Technologies LLC, is seeking the following. Apply via Dice today!Data Full Stack Engineer (Workday ERP & Databricks)Job SummaryWe 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 ResponsibilitiesWorkday 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) reportsDevelop integrations using:REST / SOAP APIsManage:Integration System Users (ISUs)Security roles and access controlsData Engineering (Databricks) Build scalable ETL/ELT pipelines using:PySparkSpark SQLDelta LakeDesign and implement:Lakehouse architecture (Bronze / Silver / Gold layers)Optimize pipelines for:PerformanceReliabilityCost efficiencyData Modeling & Transformation Develop enterprise-scale data modelsTransform Workday data into:Analytics-ready datasetsEnsure data quality and consistencyData Governance & Security Implement:Data quality checksValidation frameworksMonitoring and alertingManage:Access controlData lineageCompliance requirementsBusiness & Analytics Enablement Collaborate with:Finance, HR, and Analytics teamsDeliver:Reporting datasetsDashboards (Power BI / Tableau)Support:Business insights and decision-makingCollaboration & Agile Delivery Work in Agile/Scrum environmentsPartner with:Workday consultantsData engineersBusiness stakeholdersRequired SkillsWorkday Expertise (MANDATORY)Workday Financial Management (GL, AP, AR, etc.)Workday Reporting (RaaS, WQL)Workday integrations (REST/SOAP APIs)Data EngineeringDatabricks (Azure preferred)PySpark, Spark SQL, Delta LakeETL/ELT pipeline developmentProgramming & DatabasesPythonSQL (Advanced)Data modelingCloudAzure (preferred) / AWS / Google Cloud PlatformAdditional SkillsData governance & securityCI/CD pipelinesAPI integrationExperience Required 5-10 years of experienceMinimum:3+ years in Workday3+ years in Databricks / data engineeringGood to HavePower BI / TableauUnity Catalog (Databricks governance)Experience with Finance & HR analyticsKnowledge of AI/ML data pipelines