Manager of Data Engineering

Posting Description Who We Are: NFP, an Aon company, is a multiple Best Places to Work award winner in Business Insurance who has also earned the WORK180 employer endorsement. We are an organization of consultative advisors and problem solvers. We help companies and individuals around the globe address their most significant risk, workforce, wealth management and retirement challenges through custom solutions and a people-first approach. To learn more, please visit: https://www.NFP.com. Principal Duties and Responsibilities / Essential Functions: Lead the platform architecture and build Own the design, build, and ongoing maintenance of our Microsoft Fabric medallion architecture (Bronze → Silver → Gold), ensuring data flows optimally from raw ingestion through conformed, analytics-ready models. Make and document key architectural decisions around ingestion patterns, storage, the serving layer, orchestration, and performance — balancing speed, reliability, and cost. Establish the engineering practices that keep the platform healthy as it scales: version control, testing, CI/CD, monitoring, and documentation. Lead and grow the team Guide a small team of data engineers — setting coding and design standards, running code reviews, and unblocking day-to-day work. Mentor engineers and help grow their technical skills, giving the team a clear sense of how “good” is defined. Help shape hiring and team structure as the function grows. Build and maintain the data pipelines Develop and operate ingestion pipelines from multiple sources — pharmacy claims, eligibility, formulary, contract data, rebate and actuarial data, and public reference APIs (e.g., NADAC, NCPDP, CMS, 340B). Normalize and conform data across differing PBM file specifications, formularies, and claims layouts so that downstream models are consistent and trustworthy. Design and evolve the conformed data model and star schema that serve as the analytical source of truth. Serve the business Ensure the platform reliably feeds downstream consumers: Power BI, Excel reporting, internal web applications, and AI/Copilot-ready data services. Serve as a point for complex reporting and data issues, guiding to resolution across reporting and data teams Own data quality, governance, lineage, performance, and cost optimization end to end. Partner with the platform architect, analytics, clinical, and product teams to align the technical roadmap with business and client priorities, and translate ambiguous requirements into concrete data solutions. Collaborate with cross-functional leaders to prioritize initiatives and allocate resources Minimum Requirements for Education, Experience, and Certifications/Licenses: 7+ years in data engineering, including 2+ years leading, mentoring, or acting as tech lead for other engineers. Deep experience building lakehouse / medallion architectures. Microsoft Fabric strongly preferred; comparable experience with Azure Synapse, Databricks, or similar platforms will be considered. Strong SQL and hands-on proficiency in Python and/or PySpark for large-scale data transformation. Dimensional modeling expertise — you can design and maintain star schemas that hold up as reporting needs grow. BI analytics fluency, including an understanding of the semantic/serving layer that makes BI performant and trustworthy. A track record of taming messy data — ingesting and conforming heterogeneous sources and file formats into clean, reliable models. Solid engineering fundamentals — data governance, data quality frameworks, and CI/CD for data pipelines. Strong communication skills — able to explain technical tradeoffs to non-technical stakeholders and collaborate across teams. Preferred Qualifications Experience with pharmacy, PBM, healthcare claims, or payer data. Familiarity with pharmacy data standards (NCPDP, claims file layouts) and healthcare reference data. Experience enabling AI/Copilot or MCP-based data access on top of a data platform. Broader Azure ecosystem experience (Azure SQL, data pipelines, security/RBAC, cost management). Experience standing up a data platform or engineering function in an early or growth-stage environment. What We Offer: We're proud to offer a competitive salary, PTO & paid holidays, 401(k) with match, exclusive discount programs, health & wellness programs, and more. Our PeopleFirst culture focuses on building and nurturing lifelong relationships with our employees because, ultimately, we exist to be there for others. The base salary range for this position is $135,000 – $150,000. The base salary offered will be determined by factors including, but not limited to, experience, credentials, education, certifications, skill level required for the position, the scope of the position, and geographic location. Actual base salary offered will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. NFP and You... Better Together! NFP is an inclusive Equal Employment Opportunity employer. 2588638Who We Are: NFP, an Aon company, is a multiple Best Places to Work award winner in Business Insurance who has also earned the WORK180 employer endorsement. We are an organization of consultative advisors and problem solvers. We help companies and individuals around the globe address their most significant risk, workforce, wealth management and retirement challenges through custom solutions and a people-first approach. To learn more, please visit: https://www.NFP.com. Principal Duties and Responsibilities / Essential Functions: Lead the platform architecture and build Own the design, build, and ongoing maintenance of our Microsoft Fabric medallion architecture (Bronze → Silver → Gold), ensuring data flows optimally from raw ingestion through conformed, analytics-ready models. Make and document key architectural decisions around ingestion patterns, storage, the serving layer, orchestration, and performance — balancing speed, reliability, and cost. Establish the engineering practices that keep the platform healthy as it scales: version control, testing, CI/CD, monitoring, and documentation. Lead and grow the team Guide a small team of data engineers — setting coding and design standards, running code reviews, and unblocking day-to-day work. Mentor engineers and help grow their technical skills, giving the team a clear sense of how “good” is defined. Help shape hiring and team structure as the function grows. Build and maintain the data pipelines Develop and operate ingestion pipelines from multiple sources — pharmacy claims, eligibility, formulary, contract data, rebate and actuarial data, and public reference APIs (e.g., NADAC, NCPDP, CMS, 340B). Normalize and conform data across differing PBM file specifications, formularies, and claims layouts so that downstream models are consistent and trustworthy. Design and evolve the conformed data model and star schema that serve as the analytical source of truth. Serve the business Ensure the platform reliably feeds downstream consumers: Power BI, Excel reporting, internal web applications, and AI/Copilot-ready data services. Serve as a point for complex reporting and data issues, guiding to resolution across reporting and data teams Own data quality, governance, lineage, performance, and cost optimization end to end. Partner with the platform architect, analytics, clinical, and product teams to align the technical roadmap with business and client priorities, and translate ambiguous requirements into concrete data solutions. Collaborate with cross-functional leaders to prioritize initiatives and allocate resources Minimum Requirements for Education, Experience, and Certifications/Licenses: 7+ years in data engineering, including 2+ years leading, mentoring, or acting as tech lead for other engineers. Deep experience building lakehouse / medallion architectures. Microsoft Fabric strongly preferred; comparable experience with Azure Synapse, Databricks, or similar platforms will be considered. Strong SQL and hands-on proficiency in Python and/or PySpark for large-scale data transformation. Dimensional modeling expertise — you can design and maintain star schemas that hold up as reporting needs grow. BI analytics fluency, including an understanding of the semantic/serving layer that makes BI performant and trustworthy. A track record of taming messy data — ingesting and conforming heterogeneous sources and file formats into clean, reliable models. Solid engineering fundamentals — data governance, data quality frameworks, and CI/CD for data pipelines. Strong communication skills — able to explain technical tradeoffs to non-technical stakeholders and collaborate across teams. Preferred Qualifications Experience with pharmacy, PBM, healthcare claims, or payer data. Familiarity with pharmacy data standards (NCPDP, claims file layouts) and healthcare reference data. Experience enabling AI/Copilot or MCP-based data access on top of a data platform. Broader Azure ecosystem experience (Azure SQL, data pipelines, security/RBAC, cost management). Experience standing up a data platform or engineering function in an early or growth-stage environment. What We Offer: We're proud to offer a competitive salary, PTO & paid holidays, 401(k) with match, exclusive discount programs, health & wellness programs, and more. Our PeopleFirst culture focuses on building and nurturing lifelong relationships with our employees because, ultimately, we exist to be there for others. The base salary range for this position is $135,000 – $150,000. The base salary offered will be determined by factors including, but not limited to, experience, credentials, education, certifications, skill level required for the position, the scope of the position, and geographic location. Actual base salary offered will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. NFP and You... Better Together! NFP is an inclusive Equal Employment Opportunity employer.