About this role

Lead architecture and hands-on development of distributed systems supporting healthcare data workflows
Design and implement scalable data pipelines (batch and streaming) for large-scale datasets
Build and maintain APIs and services with strong SLAs, observability, and fault tolerance
Implement identity resolution logic including matching, deduplication, and graph-based linkage
Ensure high data quality through validation, reconciliation, and monitoring frameworks
Design systems with strong security controls, including encryption, access control, and auditability
Apply privacy-by-design principles across all systems handling PHI/PII
Partner with Product and Data teams to translate healthcare requirements into scalable architectures
Drive engineering best practices across testing, CI/CD, code quality, and operational excellence
Mentor engineers and act as a technical leader across the team

8–10 years of software engineering experience with increasing technical ownership
Proven track record of building and scaling data-intensive or distributed systems
Experience working in regulated environments (healthcare strongly preferred)
Strong system design and architecture skills
Ability to lead technically while remaining hands-on in implementation
Strong collaboration skills across engineering, product, and data teams

Lead Software Engineer – Healthcare Data, Audience Applications

Key skills