Description :
Experience Ideally 10+ with 5+ on delivering Data and Integration Architecture.
Technology Knowledge on Cloud Platforms (Pref. Azure) including Platform Setup, MuleSoft Anypoint, and have exposure to API based data consumptions.
Skills -
- Lead the end-to-end design of cloud-based data platforms leveraging Azure services (ADLS, ADF, Databricks) and MuleSoft integration for data flow orchestration and API management.
- Design and optimize MuleSoft-based integration strategies for seamless data exchange with external healthcare APIs. Drive API-first design principles, enabling interoperability across healthcare systems through well-architected and secure API integrations.
- Leverage knowledge of healthcare data formats (e.g., HL7, FHIR, EDI X12) and regulations (HIPAA, PHI) to architect compliant solutions for the storage, movement, and security of sensitive healthcare data..
- Architect real-time data replication / CDC and processing pipelines across cloud and on-premises environments to support critical business applications.
- Leverage Azure Data Lake Storage (ADLS), Azure Data Factory (ADF), and Databricks to build scalable, high-performance data pipelines and transformation solutions.
- Implement data governance frameworks and ensure compliance with security policies across the Azure platform, with a focus on protecting healthcare data.
- Collaborate with business stakeholders, data engineers, and development teams to ensure alignment of architectural solutions with business needs and technical requirements.
- Provide program oversight, track project timelines, and manage risks, while ensuring successful delivery of large-scale data platform projects.
- Optimize MuleSoft integration layers and Azure-based data pipelines for performance, scalability, and cost-effectiveness.
- Mentor and guide cross-functional teams in solution implementation, architectural best practices, and technology adoption, fostering a collaborative environment.
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