Chief Data Infrastructure Architect

1 day ago

Hubli, Karnataka, India beBeeDataEngineer Full time US$ 1,50,000 - US$ 2,00,000
Senior Data Engineer Position

We are seeking a highly skilled Senior Data Engineer to join our team. As a Senior Data Engineer, you will play a critical role in designing, building, and operating the backbone of our AI-powered applications.

The ideal candidate will have deep expertise in building data pipelines and integrating healthcare data. You will be responsible for creating scalable pipelines that process clinical encounter data, retrieve associated medical documents, and deliver validated information to our machine learning systems for inference.

As a key member of our engineering team, you will work closely with software engineers, ML specialists, and clinical partners to bring our vision to life.

Key Responsibilities:
  • Design, build, and operate scalable, event-driven data pipelines that support real-time clinical workflows.
  • Integrate with EHR/EMR systems (e.g., Epic) using standards such as FHIR and HL7.
  • Develop reliable systems to ingest, track, and update clinical events in real-time.
  • Ensure downstream ML systems receive high-quality, structured data for inference and decision support.
  • Establish observability, monitoring, and error handling for robust pipeline performance.
  • Collaborate with ML engineers to align data flows with model needs (e.g., document ingestion, embedding storage, inference triggers).
  • Continuously improve pipeline design to maximize scalability, resilience, and automation.
Requirements:
  • 5+ years of experience building and maintaining production-grade data pipelines.
  • Strong background in workflow orchestration and event-driven systems.
  • Proficiency with relational databases and SQL (e.g., Postgres) as well as handling unstructured data.
  • Experience operating in cloud environments and working with distributed, highly available systems.
  • Track record of delivering data infrastructure that supports ML or analytics applications.
  • Excellent communication and collaboration skills; able to drive projects independently while working as part of a cross-functional team.
Preferred Qualifications:
  • Knowledge of HIPAA and healthcare data security/privacy requirements.
  • Familiarity with FHIR/HL7 data modeling in production settings.
  • Experience supporting machine learning inference pipelines in real-world applications.
  • Expertise with image data.
  • Exposure to vector databases, embedding stores, or document retrieval systems.
  • Background in healthcare IT, clinical workflows, or health data analytics.

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