Clinical Data Architect

Infoorigin inc -

Richmond, United States of America

yesterday

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Intermediate

Richmond, United States of America

Cerner

Clinical Data Repository

Data Architecture

Data Governance

Data Integration

Data Integrity

ETL

Document-Oriented Databases

Logical Data Models

Data Processing

Google Cloud Platform

Health Level Seven International

Google BigQuery

Data Management

Support the Data Management Team in ingesting, cleaning, transforming, and processing clinical data from multiple healthcare systems.
Design conceptual and logical data models to establish and maintain a comprehensive clinical data domain.
Identify and map common data elements across multiple disparate clinical source systems.
Design and implement scalable data integration strategies to merge data into a unified longitudinal clinical data model.
Coordinate data extracts, exports, and data movement activities with source system owners and stakeholders.
Develop, implement, and maintain data cleansing, validation, and transformation processes to ensure high-quality data.
Ensure data integrity, consistency, and accuracy throughout the data lifecycle.
Collaborate with business, clinical, and technical teams to define data requirements and support reporting and analytics initiatives.
Document data models, integration processes, and data governance standards.
Troubleshoot data quality issues and recommend process improvements.

5+ years of experience in Data Architecture.
5+ years of experience in Data Processing, ETL, or data integration.
3+ years of experience working with Oracle Health (formerly Cerner).
Strong experience designing logical and conceptual data models.
Experience integrating data from multiple healthcare or clinical source systems.
Strong analytical and problem-solving skills.
Excellent communication and collaboration skills., * 2+ years of experience with Google BigQuery.
5+ years of experience with Python for data processing and automation.
2+ years of experience with Google Cloud Platform (Google Cloud Platform) or Google Cloud Infrastructure.
Experience working with healthcare data standards and clinical data warehouses.
Familiarity with data governance and data quality best practices.