Enterprise Architect- Data Infrastructure ETL/HL7

Oracle•United States,

17h•$95,000 - $209,500

About The Position

The Enterprise Architect designs and helps build data infrastructure that optimizes processing across diverse data sources. The role independently designs and implements data governance policies, data-handling procedures, validation, and integrity checks to promote data consistency, accuracy, reliability, and quality. It applies advanced ETL expertise to create and optimize automated, scalable, efficient data pipelines and reusable data products, and develops advanced storage solutions for access and analysis. The architect works independently and collaboratively in an agile environment to develop, maintain, and debug scalable, efficient, cost-effective, reliable data solutions. The role also leads interface testing and integration validation for complex Oracle Health implementations, coordinating multiple concurrent interface workstreams, including schedules, status, dependencies, risks, issues, and escalations. As a client-facing leader, the architect facilitates meetings, communicates with VA stakeholders and technical teams, drives decisions and follow-up, and advises throughout the testing lifecycle. Knowledge of EHR workflows, HL7 messaging, and healthcare data exchange across clinical, ancillary, and external systems is relevant to the role. The position requires U.S. citizenship due to the client contract.

Requirements

At least 8 years of experience in data engineering, integration architecture, or related technical roles.
Advanced expertise designing, building, and optimizing scalable data infrastructure, ETL pipelines, data flows, and reusable data products across diverse data sources.
Strong data quality and governance expertise, including data validation, integrity checks, governance policies, data-handling standards, and automated controls.
Experience with healthcare systems integration and interface testing, including EHR workflows, HL7 messaging, healthcare data exchange, and integration across clinical, ancillary, and external systems.
Ability to lead complex integration and testing workstreams and manage concurrent schedules, dependencies, risks, issues, escalations, SLAs, and deployment activities.
U.S. citizenship.

Nice To Haves

Oracle Health implementation experience.

Responsibilities

Design and help build data infrastructure to optimize processing from diverse data sources.
Analyze, design, and troubleshoot data flows based on business needs.
Participate in architecture, performance, and security reviews of technical solutions.
Adjust data collection processes, including indexing and query optimization, for performance.
Build ETL pipelines for efficient and scalable data collection and extraction.
Hold upstream and downstream teams accountable for predefined service level agreements.
Design and implement data validation and integrity checks to mitigate data quality issues.
Mentor less experienced team members on data annotation and labeling processes.
Identify and implement automation opportunities for data validation and governance.
Design, develop, and optimize automated, scalable data pipeline architectures and reusable data products.
Implement scalable, optimized data storage solutions for access and analysis.
Lead interface testing and integration validation for complex Oracle Health implementations.
Coordinate concurrent interface workstreams, including schedules, status, dependencies, risks, issues, and escalations, to align integration deliverables with deployment timelines.
Facilitate client-facing meetings, communicate with VA stakeholders and technical teams, drive decisions and follow-up actions, and advise throughout the testing lifecycle.
Analyze data and information to resolve moderately complex issues, escalate critical or unresolved issues with assessments and potential solutions, and document problem-solving strategies.