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Workday Data Consultant Jobs (NOW HIRING)

Zortech Solutions

Workday Engineer

Charlotte, NC · On-site

... of Workday data model, corporate system architecture, interfaces, reporting, and data loading procedures • Attention to detail and relentless commitment to follow-through • Ability to convey ...

Kainos

Solutions Consultant

Indianapolis, IN · On-site

As a Solution Consultant for Kainos' Smart Audit product , you will play a critical role in driving ... their Workday data and processes. This is a purely presales, revenue-aligned role-focused on ...

Centraprise

Workday Developer

Pennington, NJ · On-site

... data sources & business objects • Workday Integration Security/ Customer central • Workday PICOF/PECI • Good understanding of Workday configuration, Custom objects, Workday methodologies ...

Volto USA

Workday Developer

Charlotte, NC · On-site

$100K - $120K/yr

... data sources & business objects • Workday Integration Security/ Customer central • Workday PICOF/PECI • Good understanding of Workday configuration, Custom objects, Workday methodologies ...

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Workday Data Consultant information

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How much do workday data consultant jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for workday data consultant in the United States is $44.89, according to ZipRecruiter salary data. Most workers in this role earn between $30.29 and $60.10 per hour, depending on experience, location, and employer.

What is a Workday Data Consultant?

A Workday Data Consultant is a professional who specializes in managing, migrating, and integrating data within the Workday human capital management (HCM) and financial software platform. They help organizations transition to Workday by ensuring accurate data mapping, cleansing, and transformation from legacy systems. These consultants collaborate with clients to understand business requirements, develop data migration strategies, and support ongoing data integrity within the Workday environment. They often utilize Workday tools and best practices to deliver seamless data projects and optimize system performance.

What is the difference between Workday Data Consultant vs Workday Functional Consultant?

AspectWorkday Data ConsultantWorkday Functional Consultant
Primary FocusData analysis, reporting, and integration within WorkdayBusiness process configuration and functional design in Workday
Required SkillsData management, SQL, Workday reporting toolsWorkday modules, HR/business process knowledge
CertificationsWorkday Data Certification, reporting certificationsWorkday HCM, Financials certifications
Work EnvironmentConsulting firms, HR, finance departmentsHR, finance, or IT teams in organizations

While both roles work within the Workday ecosystem, the Workday Data Consultant specializes in data analysis, reporting, and integrations, whereas the Workday Functional Consultant focuses on configuring and optimizing Workday modules based on business needs. Understanding these differences helps organizations assign the right expertise for their Workday projects.

What are the key skills and qualifications needed to thrive as a Workday Data Consultant, and why are they important?

To thrive as a Workday Data Consultant, you need expertise in HRIS systems, data analysis, and a strong understanding of Workday’s platform, typically supported by a relevant degree and Workday certifications. Familiarity with Workday Studio, EIB, Core Connectors, and data migration tools is critical for daily tasks. Strong problem-solving, communication, and project management skills help consultants collaborate effectively with clients and stakeholders. These skills ensure efficient data integration, user satisfaction, and successful Workday implementations.

What are some common challenges faced by Workday Data Consultants during data migration projects?

Workday Data Consultants frequently encounter challenges such as ensuring data accuracy, mapping legacy data to Workday’s format, and managing tight project deadlines. Data cleansing and validation are crucial, as any discrepancies can cause downstream issues post-implementation. Collaborating closely with clients’ HR and IT teams is essential to clarify data requirements and resolve ambiguities quickly. Staying organized and proactive in communication helps overcome these common hurdles and ensures a smooth migration process.
More about Workday Data Consultant jobs
What states have the most Workday Data Consultant jobs? States with the most job openings for Workday Data Consultant jobs include:
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Workday Data Consultant jobs near you
Infographic showing various Workday Data Consultant job openings in the United States as of June 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $93,381 per year, or $44.9 per hour.

Data Full Stack Engineer (Workday ERP & Databricks)

Purple Drive Technologies

Troy, MI • On-site

Full-time

Posted 8 days ago

Job description

Overview:
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

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