Oracle Health Architect

Chartis
$55 - $60Remote

About The Position

We are seeking an experienced Oracle Health Architect with deep expertise in Athena data structures and a strong background in mapping healthcare data to the OMOP Common Data Model (CDM). This role will lead the design and implementation of data transformations to support advanced analytics, reporting, and interoperability across clinical and revenue cycle domains.

Requirements

  • Deep expertise in Athena data structures
  • Strong background in mapping healthcare data to the OMOP Common Data Model (CDM)
  • Experience with Oracle Health (Cerner) data platforms
  • Knowledge of Athena vocabulary and standardized terminologies (e.g., SNOMED, LOINC, RxNorm)
  • Experience working with clinical data (EHR, encounters, diagnoses, procedures, labs, medications)
  • Experience integrating revenue cycle data (billing, claims, charges, payments)
  • Familiarity with OHDSI standards and data quality frameworks
  • Understanding of data governance and compliance initiatives (HIPAA, etc.)

Responsibilities

  • Design and implement scalable data architecture leveraging Oracle Health (Cerner) data platforms, including Athena.
  • Define best practices for healthcare data modeling, integration, and governance.
  • Lead the end-to-end mapping of Oracle Health data to the OMOP CDM.
  • Develop and maintain ETL pipelines to transform source data into OMOP-compliant structures.
  • Ensure adherence to OHDSI standards and data quality frameworks.
  • Utilize deep knowledge of Athena vocabulary and standardized terminologies (e.g., SNOMED, LOINC, RxNorm).
  • Align source system concepts with OMOP standard vocabularies.
  • Work with clinical data (EHR, encounters, diagnoses, procedures, labs, medications).
  • Integrate revenue cycle data (billing, claims, charges, payments) into unified reporting models.
  • Ensure consistency and traceability across domains.
  • Implement data validation, reconciliation, and quality checks.
  • Collaborate with stakeholders to resolve data discrepancies and improve data integrity.
  • Partner with clinical, operational, and analytics teams to define reporting requirements.
  • Translate business needs into technical data solutions.
  • Maintain detailed documentation of mappings, transformations, and data lineage.
  • Support data governance and compliance initiatives (HIPAA, etc.).
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