Senior Data Engineer, Data Platform & Architecture

About this role

About EarliPoint Health

EarliPoint Health is transforming access to autism care. Our FDA-cleared eye-tracking technology delivers objective insights into a child’s development, empowering clinicians to diagnose earlier, treat sooner, and measure outcomes.

Position Overview

EarliPoint Health is seeking a highly capable and execution-oriented Senior Data Engineer to design and build the foundation of our next-generation data platform. This role will lead the architecture of our cloud-based data ecosystem, including both our analytical data warehouse and the underlying data models that support our application databases. This role will design reusable data products and customer-facing data delivery mechanisms supporting reporting, research collaborations, customer analytics, and regulatory submissions.

This role may include ETL or pipeline engineering, but additionally we are looking for someone who understands how data should be modeled, stored, governed, and accessed across enterprise organizations. The ideal candidate has experience designing scalable cloud data architectures, building modern data warehouses, and partnering closely with software engineers, data scientists, product managers, and clinical teams to ensure data systems are built correctly from the ground up.

Responsibilities

What Success Looks Like

• Design a scalable enterprise data architecture that supports both operational applications and analytics.
• Develop governed data models for clinical, product, and research data.
• Build a secure cloud-based data warehouse integrating product, clinical, and operational data.
• Establish standards for data governance, quality, documentation, and lifecycle management.
• Enable reliable reporting, customer analytics, AI development, and regulatory evidence generation.
• Ensure our data infrastructure is scalable, secure, and compliant with HIPAA and medical device quality requirements.

Qualifications & Experience

Required

• Bac...