Lead Software Engineer - Healthcare Data & Audience Applications

Zeta Global•Nashville, TN

About The Position

Zeta Global is seeking a Lead Software Engineer to build and scale healthcare-focused applications and data systems that power audience intelligence, activation, measurement, and reporting across both HCP and DTC workflows. This is a hands-on technical leadership role operating at the intersection of distributed systems, data engineering, and healthcare domain constraints. You will design and deliver systems that integrate identity, audience data, and campaign performance while meeting strict requirements for privacy, compliance, and reliability. The ideal candidate brings strong system design depth, experience building data-intensive platforms, and the ability to lead through architecture and execution in regulated environments.

Requirements

Strong experience designing distributed systems (microservices, event-driven architectures)
Deep understanding of data modeling, storage systems (OLTP, OLAP), and data processing frameworks
Experience with streaming and batch processing (e.g., Kafka, Spark, Flink, or similar)
Proficiency in backend development (Python, Java, or Ruby) and API design (REST/gRPC)
Experience building modern front-end applications (React or similar)
Strong experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code
Familiarity with containerization and orchestration (Docker, Kubernetes)
Experience implementing observability (logging, metrics, tracing) and reliability patterns
Strong understanding of performance optimization and scalability tradeoffs
Experience working with HCP data (provider identity, targeting, segmentation)
Experience with patient / DTC data workflows and privacy-aware systems
Understanding of healthcare data ecosystems (claims, provider, or audience datasets)
Familiarity with identity graphs and data onboarding patterns
Experience building reporting or attribution systems tied to business outcomes
Strong grasp of HIPAA, PHI/PII, and regulated data handling requirements
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

Nice To Haves

Experience with healthcare data providers or identity ecosystems
Background in AdTech, MarTech, or audience/data platforms
Experience with privacy-enhancing technologies (tokenization, clean rooms)
Exposure to ML/AI-driven data products or analytics systems

Responsibilities

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