Design and implement scalable data architectures on Azure Cloud and Databricks to support healthcare data-driven applications.
Integrate structured, semi-structured, 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 performance, scalability, and cost-efficiency 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 processes, data 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 problem-solving 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 large-scale data solutions.
Experience in ensuring compliance with privacy and security standards.
