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Role Description

This role offers a high-impact opportunity to lead the architecture and management of enterprise healthcare data, shaping how clinical and operational insights are captured, modeled, and utilized. You will transform raw, fragmented healthcare data into trusted, actionable datasets that power patient care, risk adjustment, and financial decisions. This position combines hands-on technical execution with strategic leadership, bridging engineering teams and clinical operations to define scalable, robust data systems. You will mentor engineers, influence architecture standards, and guide the design of foundational data models and ontologies. The environment is collaborative, innovative, and mission-driven, providing a chance to directly shape the future of healthcare delivery through data excellence.

• Architect and maintain core healthcare data models, including patient, claims, risk, and attribution schemas, ensuring historical accuracy, scalability, and performance.
• Define technology strategy and standards for data warehousing, transformation, and real-time processing, including dbt, Snowflake, and streaming pipelines.
• Implement deterministic and probabilistic patient matching logic to unify fragmented data from EMRs, HIEs, and payer sources.
• Serve as the primary interface between clinical/business operations and engineering teams, translating complex requirements into precise architectural specifications.
• Mentor and guide engineers on healthcare data nuances, systemic standards, and best practices to raise technical excellence across the team.
• Drive end-to-end execution of complex data initiatives, including SQL and Python pipeline development, dimensional modeling, and architecture reviews.

Qualifications

• Deep expertise in healthcare “payvider” domains, including provider and payer data, claims lifecycle, and standards such as EDI, FHIR, and ADT.
• Proven experience designing scalable, enterprise-grade data platforms and architectures from the ground up.
• Strong knowledge of column-oriented databases (e.g., Snowflake), real-time processing, partition pruning, and performance optimization at scale.
• Expertise with dbt for transformation, including macroarchitecture, incremental strategies, dependency management, and quality control.
• Hands-on experience in SQL and Python, with the ability to influence, review, and mentor engineers on complex pipelines.
• Familiarity with dimensional modeling (Kimball/Star Schema), data normalization/denormalization strategies, and Medallion architecture.
• Strong analytical, problem-solving, and communication skills, with the ability to bridge technical and clinical stakeholders.
• Bachelor’s degree in Computer Science, Information Systems, or related field; advanced degree preferred.

Benefits

• Competitive salary and equity opportunities.
• Comprehensive healthcare coverage, including medical, dental, and vision insurance.
• Flexible and collaborative work environment with professional development opportunities.
• Opportunity to shape innovative healthcare systems and financial models.
• Transparent, mission-driven organizational culture with a focus on inclusion and collaboration.
• Robust benefits package, including retirement plans and growth resources.

Company Description