Data Architect

Summary

Join our team and play a pivotal role in building robust data infrastructure to support reporting across multiple departments.

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
• Strong expertise in data storage, containers, and structures, with experience in FHIR, JSON, XML, HL7, and x12 metadata standards
• Solid 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)
• 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

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