Technical Architect - Data

As a Technical Architect specializing in Data within the Healthcare domain, you will hold a pivotal role in defining and evolving the platform's design. Your responsibilities will include owning the end-to-end architecture across various components such as ingestion, storage, transformation, FHIR serialization, and consumption. You will be required to maintain the architecture specification document, lead the design of the Common Data Model (CDM), define bidirectional FHIR flows, specify patient identity resolution architecture, set standards for naming conventions, security protocols, and drive high-volume capacity design. Key Responsibilities: - Own the end-to-end architecture spanning ingestion, storage, transformation, FHIR serialization, and consumption - Lead the design and evolution of the Common Data Model (CDM) and define bidirectional FHIR flows - Specify patient identity resolution architecture and set standards for naming conventions, security protocols, and observability - Drive high-volume capacity design and evaluate technology choices Qualifications Required: - Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field - 8+ years of data engineering experience with at least 3-5 years in a Data Architect or Lead Data Engineer role - Deep expertise in architecting and operating large-scale data platforms on Google Cloud Platform - Hands-on experience with Apache Iceberg in production About the Company: Omitting this section as there are no additional details about the company provided in the job description. As a Technical Architect specializing in Data within the Healthcare domain, you will hold a pivotal role in defining and evolving the platform's design. Your responsibilities will include owning the end-to-end architecture across various components such as ingestion, storage, transformation, FHIR serialization, and consumption. You will be required to maintain the architecture specification document, lead the design of the Common Data Model (CDM), define bidirectional FHIR flows, specify patient identity resolution architecture, set standards for naming conventions, security protocols, and drive high-volume capacity design. Key Responsibilities: - Own the end-to-end architecture spanning ingestion, storage, transformation, FHIR serialization, and consumption - Lead the design and evolution of the Common Data Model (CDM) and define bidirectional FHIR flows - Specify patient identity resolution architecture and set standards for naming conventions, security protocols, and observability - Drive high-volume capacity design and evaluate technology choices Qualifications Required: - Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field - 8+ years of data engineering experience with at least 3-5 years in a Data Architect or Lead Data Engineer role - Deep expertise in architecting and operating large-scale data platforms on Google Cloud Platform - Hands-on experience with Apache Iceberg in production About the Company: Omitting this section as there are no additional details about the company provided in the job description.