Senior Data Engineer – Informatica / Workday
Summary
Builds and maintains Informatica/Workday pipelines to extract, transform, and archive employee data from Workday into Oracle, ensuring effective-dated history, referential integrity, and compliance with security controls.
Location: Canada-Based Remote | Toronto Preferred
Employment Type: Contract
Duration: 6 Months
Schedule: Full-Time, 40 Hours/Week
Start: ASAP
About the Opportunity
We're seeking a Senior Data Engineer with strong Informatica Cloud (IDMC/IICS) and Workday data extraction experience to support a large-scale enterprise data extraction and archival initiative.
This is a highly hands-on opportunity focused on extracting historical employee data, documents, attachments, metadata, and business-process history from a legacy Workday environment and loading it into a governed Oracle on-premises archive.
The project involves a complex, API-driven extraction process spanning numerous Workday endpoints and requires careful preservation of effective-dated history, object relationships, business-process history, and referential integrity.
What You'll Do
- Design, build, and operate data extraction and integration pipelines using Informatica Cloud (IDMC/IICS).
- Extract data from Workday using Web Services, RaaS, custom reports, and/or Workday connectors.
- Work across multiple Workday domains, including:
- Core HCM
- Payroll
- Time Tracking
- Benefits
- Compensation
- Learning
- Performance
- Recruiting
- Onboarding
- Business Process History
- Sequence and optimize API calls while implementing retries, logging, checkpointing, and restartability.
- Transform and load data into Oracle using a layered data architecture.
- Preserve keys, relationships, and referential integrity across complex Workday datasets.
- Ensure effective-dated history and point-in-time views can be accurately reconstructed.
- Develop data validation, reconciliation, and quality controls to verify completeness and accuracy.
- Support extraction of large volumes of historical documents and attachments.
- Implement appropriate security and compliance controls around sensitive employee data.
- Support dry runs, cutover readiness, defect resolution, hypercare, documentation, and knowledge transfer.
Required Qualifications
- Hands-on Informatica Cloud (IDMC/IICS) pipeline development experience.
- Strong practical Workday data extraction experience.
- Experience with Workday Web Services, RaaS, custom reports, and/or Workday connectors.
- Understanding of Workday's effective-dated data structures and object relationships.
- Strong SQL and relational data modeling experience.
- Experience loading data into Oracle, preferably an on-premises environment.
- Experience with data validation, reconciliation, and data quality engineering.
- Understanding of record-count reconciliation, primary/foreign key integrity, null checks, duplicate checks, and related controls.
- Experience working with sensitive or personal data and implementing appropriate security, access, and audit controls.
- Ability to work hands-on across extraction, transformation, loading, validation, and archival processes.
Preferred Qualifications
- Experience with the Informatica Workday connector.
- Experience supporting large-scale data migration or archival programs.
- Experience working with large volumes of documents and attachments.
- Experience preserving referential integrity across large enterprise datasets.
- Power BI or similar experience for validation dashboards and extraction reporting.
- Familiarity with HIPAA and/or PIPEDA requirements.
- Experience with encryption, RBAC, audit logging, retention, legal hold, and chain-of-custody controls.
- Familiarity with Workday IDMC/Workday Connector procurement and setup.
Why This Opportunity?
- Work on a technically complex, enterprise-scale data engineering and archival initiative.
- Gain hands-on experience across Informatica IDMC, Workday, Oracle, SQL, APIs, and data governance.
- Work with complex effective-dated Workday data and large volumes of historical employee information.
- Opportunity to contribute to a project where data accuracy, traceability, and preservation are critical.
Ideal Candidate
The ideal candidate is a hands-on Senior Data Engineer who can operate comfortably across the entire data pipeline--from Workday extraction and API orchestration through transformation, Oracle loading, validation, reconciliation, and archival.
Strong candidates will have particularly deep IDMC/IICS + Workday extraction experience and be comfortable working with complex enterprise data structures, sensitive employee information, and large-scale integration processes.
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