Healthcare Data Architect / Sr. Data Engineer

Company Overview

At Particle Health, our mission is to unlock the power of medical records in an intelligent platform that focuses healthcare back on the patient. We do that through connecting our customers to national and state medical record exchanges, which facilitates medical record sharing and interoperability.  That also gives us access to arguably some of the best fully longitudinal data on millions of patients.  Our energy is then spent organizing and processing that data, making that data useful in different settings. Powered by this data, we are building a data platform offering important clinical insights to our customers.  Our customers are Healthcare AI companies building solutions, digital healthcare providers, payers, EHR, & condition-specific platforms. 

About the Role

At Particle Health, data is at the core of everything we do. As a Senior Data Architect, you’ll play a pivotal role in organizing and optimizing our data assets to meet the evolving needs of our customers and the healthcare landscape. With access to diverse datasets like EHR, prescription fills, and provider data, you’ll tackle some of the most complex and impactful challenges in healthcare data today.

This role is about more than technical expertise—it’s about curiosity and collaboration. You’ll explore the depths of patient-level data to uncover opportunities and solve problems, asking critical questions that guide us toward delivering transformative insights. From identifying treatment adherence patterns to predicting gaps in care and developing risk scores, your work will have a direct impact on our customers' ability to improve patient outcomes.

Your contributions will shape the foundational components of Particle’s data platform and analytics strategy, driving innovation and quality across our products. You’ll also work closely with cross-functional teams to ensure our data capabilities align with business goals, helping us achieve our mission of making healthcare smarter and more patient-focused.

What You’ll Do:

As a Data Architect / Sr Data Engineer your role will have three core focus areas:

• Data Engineering (60%)
  • Build and optimize efficient, scalable data pipelines for ingestion, transformation, and enrichment, powering Particle Health’s Platform.
  • Work with product and engineering leadership to develop product features and analyses that enhance our understanding  of the data and its applications.
  • Monitor,troubleshoot data issues, and ensure data availability, reliability, and scalability for the SaaS product.
• Data Architecture (30%)
  • Lead the design and development of a robust data architecture that guides data modeling, ingestion, processing, and data quality enabling data product development at Particle Health.
  • Design and develop conceptual, logical, and physical data models ensuring they meet the needs of our platform and customers and accounting for the data domains, structures, relationships,  quality,  security, and data privacy of the product.
  • Document and communicate architectural designs and decisions to stakeholders across Product, Engineering, and Senior Leadership.
  • Champion initiatives, addressing gaps in our data, identifying solutions, and improving reliability to establish a competitive edge and firmly cementing our data quality as a key differentiator of our platform.
  • Define and implement data standards, policies, procedures, and best practices for data management, data quality, data security, and data privacy, ensuring compliance with internal and external regulations and standards.
• Data Governance (10%)
  • Define and maintain standards for data usage, access control, and compliance with healthcare regulations.
  • Establish and enforce best practices for managing our data sets, ensuring updates align with Data Usage Agreements
• Collaborate Across Teams
  • Work cross-functionally with Data Science, Product, and Engineering teams to align on architectural needs and enable the development of new features and analyses.
  • Partner with leadership to translate business requirements into scalable data solutions that provide insight and impact.
    

What We Seek:

• Extensive experience with healthcare data (especially EHR and / or Claims data, ADTs), including clinical applications and / or risk stratification.  
• Proven proficiency in building and optimizing data-intensive systems and pipelines. 
• Strong technical experience - we use SQL & Python, specifically Spark.
• Deep curiosity and critical thinking to explore and break down complex data sets to isolate key outcomes
• Strong technical experience - we use SQL & Python, specifically Spark.
• Effective communication skills to convey complex technical concepts to both technical and non-technical-stakeholders
• Experience developing data-intensive applications and reliable data pipelines in a cloud environment
• Ability to understand and prioritize work based on value and goals of a project
• Analytical thinking and interest in using metrics to improve decision-making and influence behavior
• Comfort with ambiguity
• A lifelong learner who has the  demonstrated ability to pick up new skills quickly
  

What you bring to the Table:

• 8+ years of experience in data engineering with a strong background in data architecture and data modeling. 
• 5+ years of experience in data architecture, data modeling, data governance, and data analytics, preferably for SaaS products or cloud-based applications.
• Experience with healthcare data & formats (e.g. CCDA, FHIR, HL7v2, ADTs, Tuva Schema, OMOP)
• Strong knowledge and skills in data modeling tools and languages, such as ERD, UML, SQL, and NoSQL, and in designing data models for SaaS products or cloud-based applications.
• Familiar with data governance frameworks, standards, and best practices
• Experience in working with various data platforms and systems, such as relational databases, data warehouses, data lakes, cloud services, and big data technologies, and with selecting and using the appropriate data platforms and systems for SaaS products or cloud-based applications.
• Deep Expertise in Python, with a deep understanding and hands-on experience in Spark for designing, optimizing, and scaling large-scale data processing pipelines, and proficiency in at least one SQL dialect.
• Experience with data lake technologies (e.g., Databricks, Delta Lake), data storage formats (Parquet, Avro), query engines (such as Photon, Spark SQL), and both real-time streaming and batch processing, or equivalent technologies and frameworks.

Why Particle Health?

• Purposeful Work: Contribute to projects that directly improve healthcare access, empower providers, and enhance patient outcomes.
• Collaborative Culture: Thrive in a mission-driven, curiosity-fueled environment where ownership and bold ideas are celebrated.
• Flexibility & Balance: Enjoy unlimited PTO and a flexible, fully remote work setup, giving you control over your schedule.
• Comprehensive Benefits:
• 100% employer-paid health benefits for you and generous coverage for your family.
• Employer-funded 401(k) match to help you build a secure future.
• Mental health benefits to support your well-being.
• Invest in Your Future: Receive employee equity, ensuring you share in the company’s success.
• Family Support: Access 14 weeks of fully paid parental leave, so you can focus on what matters most.

At Particle Health, your contributions don’t just impact the company—they shape the future of healthcare. Join us, and let’s make a difference together!

#LI-Remote

At Particle Health, we believe diversity is a strength that drives and fuels our mission to transform healthcare. We are proud to be an equal opportunity employer and are committed to creating an inclusive, supportive environment where everyone can thrive.

We welcome and celebrate individuals of all backgrounds, perspectives, and experiences, regardless of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability. Our commitment to diversity reflects our core values—integrity, curiosity, boldness, ownership, and persistence—and our belief that our differences make us stronger as a team and a company.

For more info about Particle and our team, check out the resources & links included.
https://www.particlehealth.com/
https://builtin.com/awards/new-york-city/2024/best-startup-places-to-work#particle-health