Design and implement scalable data architectures on Azure Cloud and Databricks to support healthcare datadriven applications.
Integrate structured semistructured and unstructured healthcare data from diverse sources into unified solutions.
Collaborate with data engineers data scientists and healthcare stakeholders to define data models storage solutions and ELT processes supporting machine learning and analytics use cases.
Optimize data architecture for performancescalability and costefficiency on Azure and Databricks.
Ensure compliance with healthcare data standards privacy and regulatory requirements.
Required Skills:
Expertise in Azure cloud services and Databricks for building secure and scalable data and AI architectures.
Strong knowledge of ELT processesdata modeling and data pipeline orchestration on Azure and Databricks.
Familiarity with healthcare data standards regulatory requirements and compliance (e.g. HIPAA GDPR).
Proficient in designing data architectures optimized for healthcare workloads.
Strong problemsolving skills and ability to work in a collaborative environment.
Experience:
Minimum 5 years of experience in data architecture with a primary focus on Azure Cloud and Databricks.
Proven track record of designing and deploying largescale data solutions.
Experience in ensuring compliance with privacy and security standards.
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