Data Architect

3 weeks ago

Palo Alto, United States SYSTEM EDGE (USA) L.L.C. Full time

  • 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.
  • Define and enforce architectural standards, design principles, and coding guidelines to ensure consistency, reliability, and maintainability across integrated systems.
  • Conduct performance tuning, scalability assessments, and security reviews of integration solutions to optimize efficiency and mitigate risks.
  • Collaborate with infrastructure teams to design and implement robust infrastructure solutions that support seamless integration and high availability of applications.
  • Stay abreast of advancements in integration technologies, methodologies, and industry standards, proactively identifying opportunities for innovation and improvement.
  • Serve as a subject matter expert on integration architecture, epics, and ancillary applications, providing guidance and thought leadership to internal teams and external stakeholders.


Qualifications:

  • Proven experience with project & data architecture or integration architect, with a strong focus on designing and implementing complex integration solutions in healthcare domain.
  • Hands-on with EPIC
  • Strong knowledge of Git, CI/CD, Terraform
  • Good experience in data science along with AI/ML activities (Databricks, Python, MLflow)
  • 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.

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