Data Architect

Company Overview

Voted #1 EHR by PC Mag, WRS Health delivers a fully integrated cloud based EMR and practice management solutions to its clients. We bring solutions to physicians by providing constant enhancement of our products and services including EHR, practice management, marketing, patient coordination and billing.

Job Purpose and Role:

We are seeking a highly skilled Data Architect to join our team and play a pivotal role in building robust data infrastructure to support reporting across multiple departments. The ideal candidate will have a strong background in data science, analytics, and data engineering, with the ability to transform data into actionable insights.

• Design, develop, and implement data architectures and pipelines to efficiently collect and process data.
• Create complex data models and structures to accommodate diverse data sources and support advanced analytics.
• Develop and maintain comprehensive reports, analysis and dashboards to provide actionable insights for various departments, including but not limited to finance, operations, clinical, and marketing.
• Design and manage data containers, storage, and retrieval systems for WRS Health's data assets, including patient data, IoT, genome, microbiome, and government datasets.
• Develop and maintain data structures using FHIR, JSON objects, XML, and HL7/x12 metadata standards to facilitate data exchange and interoperability.
• Manage the use of data tools and AWS technologies, including AWS Quicksight, SageMaker, Bedrock, and Amazon Q, to enhance data mining, visualization, and AI-driven solutions.
• Ensure the secure and efficient exchange of data, including FHIR resources, Surescripts record locators, and various healthcare data standards (e.g., CCDA, NCPDP, X12 messages).
• Implement machine learning models using SageMaker and AI large language models through Bedrock.
• Configure AI solutions to enhance business and clinical operations with Amazon Q.
• Work closely with stakeholders to understand their reporting requirements, translate them into technical specifications, and deliver solutions that meet their needs.
• Ensure data integrity, accuracy, and consistency through rigorous quality control measures.
• Continuously explore new data technologies and methodologies to enhance reporting capabilities and drive business value.

Qualifications

• Master's degree in Computer Science, Statistics, Mathematics, or a related field.
• Proven experience as a Data Scientist with a strong focus on data architecture and engineering.
• Background in data storage, containers, and structures, with experience in FHIR, JSON, XML, HL7, and x12 metadata standard is highly preferred
• Understanding of data exchange protocols and standards in healthcare, including FHIR APIs, Surescripts, and X12 messages is highly preferred
• Proficiency in data visualization tools (e.g., AWS Quicksight), machine learning (SageMaker), and AI platforms (Bedrock, Amazon Q)
• Expert-level proficiency in data structures, algorithms, and database design.
• Strong proficiency in Python or similar programming languages.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Excellent analytical and problem-solving skills.
• Strong communication and interpersonal skills to effectively collaborate with stakeholders.
• Experience in the Healthcare industry and Hubspot is a plus.

If you are a passionate Data Engineer with a strong foundation in data structures and AWS, and you are eager to contribute to improving healthcare outcomes, we encourage you to apply.

Hours:  Available during standard US business hours (9am-5pm EST or 8:30am-4:30pm EST)
Location: Full time - Remote

This job description is intended to describe the general requirements for the position.  It is not a complete statement of duties, responsibilities or requirements.  Other duties not listed here may be assigned as necessary to ensure proper operations of the department.

WRS Health is an equal opportunity employer.