Marathon Health is a leading provider of advanced primary care in the U.S., serving 2.5 million eligible patients through approximately 630 employer and union-sponsored clients. Our comprehensive services include advanced primary care, mental health, occupational health, musculoskeletal, and pharmacy services, delivered through our 680+ health centers across 41 states. We also offer virtual primary care and mental health services accessible in all 50 states. Transforming healthcare delivery with a patient-first approach, we prioritize convenient access to both in-person and virtual care, resulting in improved health outcomes and significant cost savings. Committed to inclusivity and collaboration, we foster a positive work environment and recruit exceptional talent to ensure expertise and compassion in healthcare delivery. Marathon has been recognized as a five-time Modern Healthcare Best Places to Work in Healthcare winner and a six-time Best in KLAS award winner for employer-sponsored healthcare services.

QUALIFICATIONS

Bachelor’s degree, master’s degree preferred and 8+years of relevant data management consulting or industry experience (Enterprise Data Architecture, Data Engineering (or ETL), Master Data Management, Data Catalogs and Lineage, Data Governance and Data Quality, Data Strategy) or equivalent combination of education and experience.

• 8+ years of Data Engineering, Data Architecture and Design Experience
• 5+ years of experience designing cloud solutions
• 5+ years of experience developing integration patterns for healthcare data
• Extensive knowledge of Design Patterns for Software and Data Engineering
• Experience with tools (or similar) such as Databricks, Hadoop Stack, Airflow, Kafka, NiFi, PostgreSQL, SQL Server, Elasticsearch (ELK), JSON, Parquet, Avro and other Data Storage formats
• AWS Solutions architect or developer Certification a plus

• Communicate with all internal and external stakeholders to understand data ecosystem, business requirements and be able to translate those requirements into a data solution plan.
• Support the integration of healthcare data into an enterprise data platform including claims, eligibility, biometrics/lab results, pharmacy, encounter, etc.
• Lead and provide guidance to other team members, to ensure successful delivery of strategy and implementation of Data Management solutions.
• Articulate architecture, technology considerations and roadmaps for implementing Data Management solutions
• Actively engage in the preparation, conception, and realization of client data projects
• Lead process design reviews, conduct current state analysis, future state and roadmap assessments, project assessments, and define detailed implementation blueprint
• Apply modern data management toolsets and methods to design, build, implement, and optimize data solutions of all types – including data warehouses, data lakes, ODS, streaming data, analytic and BI/visualizations, etc.
• Support teams developing and maintaining master data repositories with systems design and architecture points of view to establish appropriate bounded contexts for systems and interfaces
• Develop and evangelize patterns, principles, and best practices for infusing analytics and artificial intelligence into new solutions being developed or planned
• Track industry and technology trends to identify new approaches or paradigms in data and analytics and use this information to influence leaders and develop future states and roadmaps