Enterprise Architect- Data Infrastructure

** Job Description*
* The Enterprise Architect provides expertise on the design and participates in building of data infrastructure to optimize data processing from a variety of data sources. They Independently design and implement data governance policies and procedures for data handling to manage data consistency, integrity, accuracy, and reliability. Provides expertise on and participates in the design and implementation of rigorous data validation and integrity checks, proactively mitigating data quality issues that could impact data pipeline and model performance.

This role will also leverage advanced knowledge of Extract, Transform, and Load (ETL) processes to design, develop, and optimize automated, scalable, and efficient data pipeline architectures to build reusable data products.

Work independently and collaboratively in an agile development environment with other engineers to develop, maintain, and debug advanced data solutions that are scalable, efficient, cost effective, and reliable

Leads interface testing and integration validation for complex Oracle Health implementations. This role owns the coordination of multiple concurrent interface work streams-including schedules, status, dependencies, risks, issues, and escalations-to ensure integration deliverables are tested, ready, and aligned with deployment timelines.

As a client-facing leader, the architect facilitates meetings, communicates clearly with VA stakeholders and technical teams, drives decisions and follow-up actions, and serves as a trusted advisor throughout the testing lifecycle. The ideal candidate understands electronic health record workflows, HL7 messaging, and healthcare data exchange across clinical, ancillary, and external systems.

** Requirements:*
* +  
** 8+ years of experience in data engineering, integration architecture, or related technical roles** , with advanced expertise designing, building, and optimizing scalable data infrastructure, ETL pipelines, data flows, and reusable data products across diverse data sources.

+  
** Strong expertise in data quality and governance** , including designing and implementing data validation, integrity checks, governance policies, data handling standards, and automated controls to ensure data accuracy, consistency, reliability, and compliance.

+  
** Demonstrated experience with healthcare systems integration and interface testing** , including knowledge of electronic health record (EHR) workflows, HL7 messaging, healthcare data exchange, and integration across clinical, ancillary, and external systems;
Oracle Health implementation experience preferred.

+  
** Due to the client contract, you will be assigned, this position requires you to be a U.S. citizen*
* +  
** Proven ability to lead complex integration and testing work streams** , managing concurrent schedules, dependencies, risks, issues, escalations, SLAs, and deployment

** Responsibilities*
* ** Data Processing & Pipelining - Data Requirements, Collection, and

Infrastructure: *
* + Provides expertise on the design and participates in building of data infrastructure to optimize data processing from a variety of data sources.

+ Independently analyzes, designs, and troubleshoots data flows based on business needs.

+ Participates and designs architecture, performance, and security reviews of the technical solution.

+ Adjusts data collection processes that involve indexing and query optimizations for optimal performance.

+ Builds Extract, Transform, and Load (ETL) pipelines to support efficient and scalable data collection and extraction.

+ Engages with and holds the upstream and downstream teams accountable for the predefined service level agreements (SLAs).

** Data Processing & Pipelining - Data Validation & Quality…