Sr. Director, Clinical Data Engineering

The Role Newfire Global Partners is a healthcare technology consultancy. Our clients are health systems, payers, digital health companies, and clinical services organizations — and nearly all of them are navigating complex data engineering challenges around claims, clinical records, and analytics infrastructure. This role builds and leads Newfire's clinical data engineering capability.

You'll be responsible for evolving our approach to healthcare data architecture, developing reusable patterns for the data engineering problems our clients face, and ensuring Newfire can credibly lead work involving claims data, EHR data access, and analytics pipelines. You'll work closely with our strategic consulting and commercial teams to identify opportunities where data engineering expertise creates client value, and you'll step into engagements to provide technical leadership when the situation calls for it. This is a hands-on leadership role.

We need someone who can design a data architecture for a client and also build a pipeline front to back when that's what the situation requires. You should be deeply comfortable with modern data platforms — Databricks, Snowflake, dbt — and have strong opinions about how to use them well in healthcare contexts. You'll lead a data engineering team that drives both analytics and transactional pipeline work on behalf of clients, and you'll bring deep practical knowledge of how healthcare data is actually accessed — from Epic Clarity to claims and eligibility feeds.

Healthcare data engineering practice. Define and evolve Newfire's approach to clinical and claims data engineering. Establish best practices, reference architectures, and reusable patterns — data lake and warehouse design, ETL/ELT pipelines, data quality and governance frameworks, and analytics-ready data models for healthcare use cases.

Analytics and transactional data pipelines. Lead a data engineering team that builds and operates pipelines on behalf of clients — both analytics workloads (population health, quality measures, reporting) and transactional pipelines (claims processing, eligibility, real-time data flows). Own the technical quality and reliability of this work.

Healthcare data domain depth. Bring deep expertise in how healthcare data is accessed and structured in practice — Epic Clarity and Caboodle, FHIR APIs, claims and eligibility data (EDI, 837/835, ICD-10, CPT/HCPCS, payer adjudication, risk adjustment). Newfire has healthcare data expertise across the organization; you should be among the most knowledgeable people in the company on the practical mechanics of getting data out of source systems and making it useful.

Technical execution. Stay close to the work. Review architectures, debug pipeline issues, evaluate new tools.

You should be the kind of leader who can sit down with a data engineer and work through a problem in Databricks or dbt, not just review it in a slide deck. Commercial partnership. Work with strategic consulting and commercial leadership to identify where data engineering creates opportunities — in active engagements, in proposals, and in how we position capabilities to the market.

You won't carry a sales quota, but your expertise should directly inform how we identify and pursue data-intensive work. Technical leadership on engagements. Step into client engagements to provide data architecture guidance, assess existing data infrastructure, or lead technical design when the engagement requires senior data engineering judgment.

Team development. Build and develop data engineering talent at Newfire — identifying skill gaps, mentoring engineers, and shaping how we recruit for data engineering capability. Coordinate with the strategic bench (Newfire Labs) to develop data engineering skills during bench time.

AI and modern data practices. Healthcare data engineering is being reshaped by AI — from pipeline automation to LLM-powered extraction from unstructured clinical documents.