Healthcare Data Architect, Senior Data Engineer

Summary

Join Particle Health, a healthcare data analytics and interoperability company, as a Healthcare Data Architect / Senior Data Engineer. You will play a pivotal role in organizing and optimizing data assets to meet evolving customer needs. This role involves building and optimizing data pipelines, ensuring data quality and architecture, and collaborating with cross-functional teams. You will leverage your expertise in healthcare data (EHR, claims data) and data engineering to solve complex challenges and improve patient outcomes. Particle Health offers a collaborative culture, flexible remote work, and comprehensive benefits, including generous health insurance, 401k matching, parental leave, and employee equity.

Requirements

• Extensive experience and domain expertise with Healthcare data (especially EHR - CCDA, FHIR 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
• Effective communication skills to convey complex technical concepts to both technical and non-technical-stakeholders
• 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
• 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
• 5+ years of experience with healthcare data & formats (e.g. CCDA, FHIR, HL7v2, Claims, ADTs, Tuva Schema, OMOP)
• Strong knowledge and skills in data modeling tools and languages and in designing data models 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

Responsibilities

• Build and optimize efficient, scalable data pipelines for ingestion, transformation, and enrichment, powering Particle Health’s Platform
• Monitor, troubleshoot data issues, and ensure data availability, reliability, and scalability for the SaaS product
• Work with Product and Engineering leadership to develop product features and analyses that enhance our understanding of the data and its applications
• 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
• Help design and evolve Particle’s data infrastructure to reduce toil, improve operational efficiency and reduce processing cost
• 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
• Help address 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
• Work cross-functionally with Data Engineering, 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

Benefits

• ~ 95% 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
• Unlimited PTO and a flexible, fully remote work setup, giving you control over your schedule