Data Platform Architect

5 days ago


Palo Alto, California, United States Harnham Full time
About the Opportunity

We are seeking a highly skilled Data Platform Tech Lead to join our team at a cutting-edge healthcare AI company. As a key member of our engineering team, you will be responsible for leading the architecture and development of our data platform, ensuring it scales effectively and remains secure.

Key Responsibilities:

  • Design and architect the data platform, ensuring scalability and security.
  • Collaborate with machine learning teams to enhance backend services and streamline deployment.
  • Troubleshoot platform issues, focusing on monitoring, streaming, and authentication challenges.
  • Develop tools to verify the accuracy of AI-generated insights against clinical standards.
  • Help hire and mentor additional team members to expand the engineering team.
  • Build a unified platform for monitoring AI applications and measuring their clinical impact.

Ideal Candidate Profile:

  • 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).
  • Proven ability to take ownership of a platform and treat it as a product that requires continuous improvement.
  • Strong problem-solving skills and the ability to work collaboratively with cross-functional teams.

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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