Data Full Stack Engineer (Workday ERP & Databricks)

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

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 / GCP

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

© 2026 Careerjet All rights reserved