Senior Data Architect at Particle Health

At Particle Health, we are on a mission to revolutionize the healthcare industry by unlocking the true potential of medical records. We provide an intelligent platform that connects customers to national and state medical record exchanges, enabling seamless interoperability and data sharing. By processing vast amounts of longitudinal patient data, we empower digital healthcare providers, EHRs, and AI-driven platforms to deliver better clinical insights. We are passionate about our work, and we are actively working to destroy the fax machine for good.

About the Role

We are looking for a Senior Data Architect to join our team in a full-time capacity. In this role, you will serve as a foundational leader in organizing and optimizing our complex data assets. You will work with diverse datasets, including EHR and claims information, to build scalable solutions that directly impact patient outcomes. This is a remote position where your technical expertise and curiosity will help shape the future of our data platform.

Key Responsibilities

• Design and implement robust data architectures, including conceptual, logical, and physical data models that ensure high standards for data quality, security, and privacy.
• Develop and optimize scalable data pipelines for ingestion and transformation, while monitoring system reliability for our SaaS products.
• Define and enforce data governance standards, ensuring all data usage and access controls remain compliant with healthcare regulations and internal agreements.

Requirements

To be successful in this role, you should possess the following qualifications:

• At least 8 years of experience in data engineering and a strong background in data architecture and modeling.
• At least 5 years of specialized experience in data architecture, governance, and analytics, ideally within a SaaS or cloud-based environment.
• Deep expertise in Python and Spark, along with proficiency in at least one SQL dialect.
• Extensive knowledge of healthcare data formats such as FHIR, CCDA, HL7v2, and ADTs.
• Proven ability to design data-intensive applications using cloud technologies, data lakes, and modern storage formats like Parquet or Avro.
• Strong communication skills with the ability to translate complex technical concepts for various stakeholders.

Location

This position is fully remote and can be performed from anywhere.

Compensation and Benefits

We are committed to supporting your professional growth and personal well-being. Our benefits package includes:

• Unlimited vacation to help you maintain a healthy work-life balance.
• Comprehensive medical insurance with 100% employer-paid coverage for you and generous support for your family.
• A 401k plan with an employer-funded match.
• Equity compensation so you can share in our collective success.
• A dedicated mental wellness budget.
• 14 weeks of fully paid maternity and paternity leave.