Job Description
We are hiring a GCP Data Architect with 3-10 years of experience in Google Cloud Platform (GCP) and Healthcare. The ideal candidate will be responsible for designing, implementing, and optimizing cloud-based data solutions for healthcare applications while ensuring compliance with industry regulations.
Key Responsibilities
Architect and implement scalable data pipelines and solutions on Google Cloud Platform (GCP) for healthcare applications.
Design and optimize data storage, processing, and analytics workflows using BigQuery, Cloud Storage, Dataflow, and Pub/Sub.
Ensure compliance with HIPAA, FHIR, and other healthcare data regulations.
Collaborate with data engineers, analysts, and business teams to define data models and structures.
Lead ETL/ELT pipeline design and implementation using Cloud Data Fusion, Apache Beam, or Dataflow.
Design and implement secure, high-performance data architectures for structured and unstructured healthcare data.
Develop real-time and batch data processing solutions for healthcare analytics and reporting.
Work closely with AI/ML teams to integrate predictive analytics into data pipelines.
Optimize query performance and cost efficiency in BigQuery.
Provide technical leadership and guidance to data engineering teams.We are hiring a GCP Data Architect with 3-10 years of experience in Google Cloud Platform (GCP) and Healthcare. The ideal candidate will be responsible for designing, implementing, and optimizing cloud-based data solutions for healthcare applications while ensuring compliance with industry regulations.
Key Responsibilities
Architect and implement scalable data pipelines and solutions on Google Cloud Platform (GCP) for healthcare applications.
Design and optimize data storage, processing, and analytics workflows using BigQuery, Cloud Storage, Dataflow, and Pub/Sub.
Ensure compliance with HIPAA, FHIR, and other healthcare data regulations.
Collaborate with data engineers, analysts, and business teams to define data models and structures.
Lead ETL/ELT pipeline design and implementation using Cloud Data Fusion, Apache Beam, or Dataflow.
Design and implement secure, high-performance data architectures for structured and unstructured healthcare data.
Develop real-time and batch data processing solutions for healthcare analytics and reporting.
Work closely with AI/ML teams to integrate predictive analytics into data pipelines.
Optimize query performance and cost efficiency in BigQuery.
Provide technical leadership and guidance to data engineering teams.