November 27
• Senior Data Architect at Particle Health, organizing and optimizing data assets for healthcare. • Develop efficient, scalable data pipelines and monitor troubleshooting data issues. • Design and develop robust data architecture, ensuring compliance with regulations. • Work with cross-functional teams to meet business goals and improve patient outcomes.
• 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. • Extensive experience with healthcare data (especially EHR and/or Claims data, ADTs). • Proven proficiency in building and optimizing data-intensive systems and pipelines. • Strong technical experience with SQL & Python, specifically Spark. • Deep expertise in Python, with deep understanding and hands-on experience in Spark for designing, optimizing, and scaling large-scale data processing pipelines. • Familiar with data governance frameworks, standards, and best practices. • Experience developing data-intensive applications and reliable data pipelines in a cloud environment. • Strong knowledge in data modeling tools and languages, such as ERD, UML, SQL, and NoSQL. • Ability to understand and prioritize work based on project value and goals. • Effective communication skills to convey complex technical concepts to technical and non-technical stakeholders.
• 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. • Unlimited PTO and a flexible, fully remote work setup. • Employee equity for sharing in the company’s success. • 14 weeks of fully paid parental leave.
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