Lead Data Architect

Lead Data Architect (Healthcare) – Remote We are looking for a Lead Data Architect with 15+ years of experience , including 4+ years in healthcare , to design scalable data architectures, ensure regulatory compliance, and drive data initiatives. The role involves collaborating with stakeholders, implementing governance frameworks, and leveraging emerging technologies. Candidates must have expertise in Azure (VMs, Databricks, Kubernetes), cloud platforms (AWS/GCP), databases (Snowflake, Synapse, Cosmos DB), AI/ML (TensorFlow, GPT, Llama2), and data integration tools (Informatica, Mulesoft, Apache NiFi) . Experience with CI/CD, DevOps, and healthcare interoperability (FHIR, HL7) is preferred. Certifications: TOGAF, AWS/Azure/GCP Solutions Architect, CDMP, Cloud Data Architect, Snowflake Architect. Remote with some travel Apply now! This is a remote position. Compensation: $65.00 - $70.00 per hour Empowering the Future of Healthcare The healthcare Industry is on the brink of a paradigm shift where patients are increasingly being viewed as empowered consumers, utilizing digital technologies to better understand and manage their own health. As a result, there is a growing demand for a range of patient-centric services, including personalized care that is tailored to each individual's unique needs, health equity that ensures access to care for all, price transparency to make healthcare more affordable, streamlined prior authorizations for medications, the availability of therapeutic alternatives, health literacy to promote informed decision-making, reduced costs, and many other initiatives designed to improve the patient experience. ClinDCast is at the forefront of shaping the future of healthcare by partnering with globally recognized healthcare organizations and offering them innovative solutions and expert guidance. Our suite of services is designed to cater to a broad range of needs of healthcare organizations, including healthcare IT innovation, electronic health record (EHR) implementation & optimizations, data conversion, regulatory and quality reporting, enterprise data analytics, FHIR interoperability strategy, payer-to-payer data exchange, and application programming interface (API) strategy.