Cerner, Clinical Data, Cloud Computing, Data Management, Data Modeling, Data Processing, Data Warehousing, Enterprise Data Integration, Healthcare, Oracle
Required Qualifications
- 5+ years of experience in Data Architecture.
- 5+ years of experience in Data Processing, ETL, and data integration.
- 3+ years of experience with Oracle Health (formerly Cerner).
- Strong experience designing enterprise data warehouses and data models.
- Experience integrating data from multiple healthcare or clinical systems.
- Excellent analytical, problem-solving, and communication skills
Preferred Qualifications
- 2+ years of experience with Google BigQuery.
- 5+ years of experience using Python for data processing, automation, or ETL development.
- Experience working with Google Cloud Platform (GCP) and Google Cloud Infrastructure.
- Experience supporting healthcare, public health, or clinical data en
Key Responsibilities
- Design conceptual and logical data models to support enterprise clinical data domains.
- Develop scalable data architectures for integrating clinical data from multiple disparate source systems.
- Identify and map common data elements across various healthcare applications and databases.
- Design and implement longitudinal data models that consolidate patient and clinical information regardless of source.
- Coordinate data extraction and integration efforts with source system owners.
- Develop and implement data cleansing, transformation, and processing routines to improve data quality.
- Support ETL/ELT development and data ingestion processes.
- Collaborate with business stakeholders, data analysts, and technical teams to ensure data integrity and consistency.
- Optimize data processing workflows and support ongoing enhancements to the enterprise data warehouse.
- Document data models, architecture, data flows, and technical specifications.
vironments.
Job Title: Data Warehouse Architect 2
Location: Richmond, VA (Hybrid – 3 days onsite per week)
The client is seeking an experienced Data Warehouse Architect to support its Data Management Team in building and maintaining a clinical data platform. This role will focus on designing and implementing scalable data architectures that enable the ingestion, cleansing, integration, and processing of clinical data from multiple healthcare systems into a unified longitudinal data model.
The ideal candidate will have a strong background in healthcare data architecture, data integration, and enterprise data warehousing, along with experience working with Oracle Health (Cerner) and modern cloud-based analytics platforms.