Healthcare Data Architect, Senior Data Engineer

Summary

Join Particle Health, a company focused on improving healthcare access and patient outcomes through an intelligent medical records platform. As a Senior Data Architect, you will play a pivotal role in organizing and optimizing data assets, building efficient data pipelines, and designing a robust data architecture. You will collaborate with cross-functional teams, ensuring data capabilities align with business goals. This role requires extensive experience with healthcare data, proficiency in data-intensive systems, and strong communication skills. Particle Health offers a collaborative culture, flexible remote work, and comprehensive benefits, including 100% employer-paid health benefits, 401k matching, mental health benefits, employee equity, and 14 weeks of fully paid parental leave.

Requirements

• 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
• 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
• 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

Responsibilities

• 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
• 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
• 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

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
• Unlimited PTO
• Flexible, fully remote work setup