| Data Architect With EPIC and Machine learning Exp at Remote, Remote, USA |
| Email: [email protected] |
| Title: Data Architect With EPIC and Machine learning Exp Location: Remote Duration: 12+ months Responsibilities Design and architect integration solutions for bringing together disparate systems, applications, and data sources to achieve seamless interoperability. Break down large-scale project requirements into manageable epics and user stories, collaborating closely with product owners and stakeholders to prioritize and define feature sets. Develop architectural designs and technical specifications for integrating ancillary applications with primary systems, ensuring alignment with business goals and scalability requirements. Lead cross-functional teams in the implementation of integration solutions, providing technical guidance, mentoring, and support throughout the development lifecycle. Evaluate and select appropriate integration patterns, technologies, and tools based on project requirements, industry best practices, and emerging trends. Qualifications: Proven experience with project & data architecture or integration architecture, with a strong focus on designing and implementing complex integration solutions in healthcare domain. Hands-on with EPIC systems Strong knowledge of Git, CI/CD, Terraform Good experience in data science along with AI/ML activities (Databricks, Python, ML flow) Knowledge of healthcare data, API endpoints/context Knowledge of prediction implications within workflows. Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions and architectural designs. Good experience with cloud services (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is desirable. Bachelor"s or master"s degree in computer science, information technology, or related field. Keywords: continuous integration continuous deployment artificial intelligence machine learning Data Architect With EPIC and Machine learning Exp [email protected] |
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| Wed Apr 10 19:07:00 UTC 2024 |