DATA MODELER @ ASOFTTEK
We are seeking a skilled Data Modeler for an urgent role supporting a major healthcare client. This remote position focuses on the end-to-end design of flattened schemas specifically optimized for Google Cloud Platform environments, including BigQuery and downstream serve views. You will be instrumental in creating mapping patterns that transform nested FHIR structures into high-performance relational or semi-relational models while ensuring the highest level of data integrity.
The successful candidate will establish comprehensive data modeling standards and reusable patterns to ensure scalability across various clinical domains. You will work in close partnership with engineering teams to ensure that all data models effectively support high-concurrency analytics and modern reporting tools. This is an excellent opportunity for a professional with a strong background in healthcare data architecture and No-SQL transformation to contribute to a scalable, cloud-native data environment.
The successful candidate will establish comprehensive data modeling standards and reusable patterns to ensure scalability across various clinical domains. You will work in close partnership with engineering teams to ensure that all data models effectively support high-concurrency analytics and modern reporting tools. This is an excellent opportunity for a professional with a strong background in healthcare data architecture and No-SQL transformation to contribute to a scalable, cloud-native data environment.
Key Requirements
Expertise in data modeling specifically for Google Cloud Platform (GCP) tools like BigQuery and Dataflow.
Proven experience transforming No-SQL and nested structures such as JSON and FHIR into flattened schemas.
Strong understanding of healthcare data architectures and advanced normalization strategies.
Ability to own the end-to-end design of flattened schemas optimized for high-performance analytics.
Experience developing mapping patterns for relational and semi-relational data models.
Skill in establishing data modeling standards and reusable patterns for enterprise scalability.
Collaborative mindset to partner with engineering teams for high-concurrency reporting support.
A Bachelor's or Master's degree in Information Technology, Computer Science, or a relevant technical field.
Proficiency in SQL and managing large-scale datasets in a cloud-native environment.
Strong analytical and problem-solving skills applied to complex clinical data domains.