{"schemaVersion":"jobsearcher.job.v1","id":"2313cb9eae2d0de18e71aec4","url":"https://jobsearcher.com/jobs/2313cb9eae2d0de18e71aec4","canonicalUrl":"https://jobsearcher.com/jobs/2313cb9eae2d0de18e71aec4","title":"Data Full Stack Engineer (Workday ERP & Databricks)","description":"Overview: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 ExtractionDesign 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 & TransformationDevelop enterprise-scale data modelsTransform Workday data into:Analytics-ready datasetsEnsure data quality and consistencyData Governance & SecurityImplement:Data quality checksValidation frameworksMonitoring and alertingManage:Access controlData lineageCompliance requirementsBusiness & Analytics EnablementCollaborate with:Finance, HR, and Analytics teamsDeliver:Reporting datasetsDashboards (Power BI / Tableau)Support:Business insights and decision-makingCollaboration & Agile DeliveryWork in Agile/Scrum environmentsPartner with:Workday consultantsData engineersBusiness stakeholders• Required 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 / GCPAdditional SkillsData governance & securityCI/CD pipelinesAPI integrationExperience Required5-10 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","company":"Purple Drive","rawCompany":"purple drive","city":"New Troy","state":"MI","isRemote":false,"isActive":true,"createdAt":"2026-09-11T12:59:53.299Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Full Stack Engineer (Workday ERP & Databricks)","description":"Overview: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 ExtractionDesign 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 & TransformationDevelop enterprise-scale data modelsTransform Workday data into:Analytics-ready datasetsEnsure data quality and consistencyData Governance & SecurityImplement:Data quality checksValidation frameworksMonitoring and alertingManage:Access controlData lineageCompliance requirementsBusiness & Analytics EnablementCollaborate with:Finance, HR, and Analytics teamsDeliver:Reporting datasetsDashboards (Power BI / Tableau)Support:Business insights and decision-makingCollaboration & Agile DeliveryWork in Agile/Scrum environmentsPartner with:Workday consultantsData engineersBusiness stakeholders• Required 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 / GCPAdditional SkillsData governance & securityCI/CD pipelinesAPI integrationExperience Required5-10 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","datePosted":"2026-09-11T12:59:53.299Z","dateModified":"2026-09-11T12:59:53.299Z","hiringOrganization":{"@type":"Organization","name":"Purple Drive","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New Troy","addressRegion":"MI","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2313cb9eae2d0de18e71aec4"},"url":"https://jobsearcher.com/jobs/2313cb9eae2d0de18e71aec4"}}