Data Architect

Summary

Join WRS Health, a leading provider of cloud-based EMR and practice management solutions, as a Data Architect. You will play a pivotal role in building robust data infrastructure and transforming data into actionable insights for multiple departments. This position requires a strong background in data science, analytics, and data engineering, with expertise in data architecture and various data technologies. You will design, develop, and implement data architectures and pipelines, create data models, develop reports and dashboards, and manage data storage and retrieval systems. The ideal candidate will have a Master's degree in a related field and proven experience as a Data Scientist. This is a full-time remote position with standard US business hours.

Requirements

• 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
• Expert-level proficiency in data structures, algorithms, and database design
• Strong proficiency in Python or similar programming languages
• Excellent analytical and problem-solving skills
• Strong communication and interpersonal skills to effectively collaborate with stakeholders

Responsibilities

• 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

Preferred Qualifications

• Background in data storage, containers, and structures, with experience in FHIR, JSON, XML, HL7, and x12 metadata standard
• Understanding of data exchange protocols and standards in healthcare, including FHIR APIs, Surescripts, and X12 messages
• Proficiency in data visualization tools (e.g., AWS Quicksight), machine learning (SageMaker), and AI platforms (Bedrock, Amazon Q)
• Experience with data visualization tools (e.g., Tableau, Power BI)
• Experience in the Healthcare industry and Hubspot

Benefits

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