• Designing and developing modern, data-centric applications that support clinical and operational workflows • Building scalable data pipelines, transformation and enrichment processes, and intuitive user interfaces • Mentoring junior Data Engineers

• Assist in the design and development of ETL/ELT workflows using Databricks to move and transform data efficiently. • Maintain and enhance existing Python and SQL codebases, ensuring data integrity and pipeline reliability. • Debug and resolve defects in data processing pipelines under the guidance of senior team members. • Clearly document code changes, data models, and technical processes to ensure team transparency. • Work closely with other data engineers and product teams to translate basic business needs into technical solutions.

• Design, develop, and maintain robust ELT/ETL pipelines ingesting clinical, claims, and operational data • Build and optimize data models in cloud-based data warehouses • Implement and manage orchestration frameworks to ensure reliable data workflows • Develop streaming and real-time data pipelines • Ensure all data systems comply with HIPAA, HITECH, and applicable state privacy regulations

• Design, document, and maintain Axiom's enterprise data model, ensuring coherence and consistency across disparate systems and platforms. • Establish and enforce data governance policies, data quality standards, and associated assurance mechanisms to ensure the reliability and integrity of organizational data assets. • In coordination with the VP, Enterprise Applications, define and maintain the data architecture roadmap, including effort scoping, dependency identification, and alignment with enterprise technology strategy. • Directly manage the Data Engineer; provide technical mentorship, set priorities, and support professional development. • Serve as the primary data architecture liaison to the Product, Operations, and Data Science functions. • In coordination with the VP, Enterprise Applications, evaluate and determine the technology stack for AI solutions and other data initiatives. • Collaborate with the VP, Enterprise Applications and Integrations Lead to reconcile roadmap priorities and ensure integration-produced data meets enterprise data model standards. • Participate collaboratively in the design and implementation of Model Context Protocol integrations, enabling AI tooling to access Axiom's information assets. • Administer and govern the Databricks environment in coordination with the Data Engineer. • Establish and maintain data documentation standards: entity definitions, lineage, ownership, and access policies.