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 / 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