Staff Data Platform Architect

4 weeks ago


Palo Alto, California, United States Harnham Full time

Staff Data Platform Architect

About the Role:

Harnham is seeking a Staff Data Platform Architect to lead the architecture and development of our AI platform. As a key member of our engineering team, you will be responsible for designing and implementing scalable, reliable, and secure data platforms that power our AI-driven applications.

Key Responsibilities:

  • Design and implement the architecture of our AI platform, ensuring it scales effectively and remains secure.
  • Collaborate with machine learning teams to enhance backend services and streamline deployment.
  • Troubleshoot platform issues, with a focus on monitoring, streaming, and authentication challenges.
  • Drive the development of tools that verify the accuracy of AI-generated insights against clinical standards.
  • Help hire and mentor additional team members to expand the engineering team.

Requirements:

  • Deep experience in backend development with Python, including building scalable, reliable platforms.
  • Strong expertise with cloud infrastructure (GCP preferred, AWS or Azure also acceptable).
  • Proficiency with Terraform, Kubernetes, and containerization technologies.
  • Familiarity with healthcare data standards like FHIR is a strong plus.
  • Experience with Generative AI, vector databases (Pinecone, Llama Index), and large language models (LLMs).

Compensation & Benefits:

This position offers a competitive base salary ranging from $180,000 to $210,000 plus equity along with comprehensive health, dental, and vision benefits.


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