Senior Manager, Data Engineering

Position Summary

We are seeking a seasoned data engineering professional to lead financial data modeling and data product delivery. Candidates will possess a deep understanding of data architecture and data modeling, and will be responsible for managing a team of data engineers, ensuring timely project delivery, and providing technical leadership and guidance. This role involves collaborating with other engineering teams, financial analysts, and product owners, taking ownership of the team's work, influencing technical strategy and platform architecture, and translating business requirements into technical solutions.

• Design, develop, and maintain ETL/ELT data pipelines to ingest, process, and transform large datasets from multiple sources.
• Implement performance tuning, partitioning, and clustering best practices to optimize data queries and reduce costs.
• Establish and enforce data quality standards, data governance frameworks, and security policies for data storage and access.
• Document data pipelines, workflows, and processes, and share best practices while mentoring junior data engineers.
• Design and architect data infrastructure for analytical workloads.

• 7+ years of relevant experience.
• Strong understanding of data warehousing concepts, dimensional modeling, and building data marts.
• Advanced SQL skills and experience developing complex queries.
• Experience deploying data pipelines in a cloud environment (GCP, AWS, Azure).
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists, analysts, and product owners.

• Experience working with healthcare data (Epic, Tuva, OMOP Models).
• Experience with financial healthcare data such as claims and membership.
• Knowledge of data governance best practices in a cloud environment.
• Experience with machine learning flows on GCP.
• Experience designing data solutions in Big Query.

• Bachelor's degree preferred, or specialized training or relevant professional qualification.

$ – $

Full‑time eligibility for a comprehensive benefits package including medical, dental, and vision coverage; paid time off; retirement savings options; wellness programs; and other resources based on eligibility.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.