Manager of Data Engineering

Posting Description

NFP, an Aon company, is a multiple Best Places to Work award winner in Business Insurance who has also earned the WORK
180 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:

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.

• 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.

• 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.

• 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

• 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.

• Experience with pharmacy, PBM, healthcare claims, or payer data.
• Familiarity…