Lead Data Engineer — Healthcare Audience Platform

Zeta Global; New York (NY); On-site; USD 180,000 - 200,000; Full time

Benefits offered by this job

Unlimited PTO

Excellent medical, dental, and vision

Employee Equity

Employee Discounts

Job summary

Zeta Global is seeking a Lead Data Engineer to build and scale healthcare-focused applications and data systems powering audience intelligence, activation, measurement, and reporting. This hands-on leadership role operates where distributed systems meet healthcare constraints, with privacy, compliance, and reliability baked in from design to deployment.

The ideal candidate brings deep data engineering experience, strong system design depth, and the ability to lead through architecture and

Qualifications

• 8+ years of data engineering experience with increasing technical ownership.
• Expert SQL and strong Python, Java; experience with batch and streaming patterns, orchestration, testing, and schema evolution.
• 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.

Responsibilities

• Define and maintain the healthcare data architecture, interface contracts, ADRs, schemas, and staged delivery plan.
• Lead ingestion and transformation patterns across Snowflake, Athena/S3, MySQL, and approved healthcare stores without duplicating shared platform capabilities.
• Partner with Data Cloud on source certification, partner-feed contracts, identity validation, raw-zone ownership, and data availability SLAs.
• Design healthcare base/vertical models and published/governed views, with row/member-level controls, account scoping, masking, and backward-compatible versioning.
• Set SLOs and operational readiness criteria; ensure dashboards, alerts, runbooks, rollback paths, and incident ownership are in place before release.
• Lead design and code reviews, mentor the Senior Data Engineer, and coordinate dependencies across the pod.
• Support compliance evidence, annual audits, US data-residency controls, and stoplight decisions: Start, Stop, or Requires CERT.
• 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

Skills

SQL

Python

Java

Distributed systems

API design

Data modeling

Cloud platforms

Tools

Snowflake

Airflow

Kafka

Spark

Databricks

Docker

Kubernetes

Job description

Zeta Global is seeking a Lead Data Engineer to build and scale healthcare-focused applications and data systems powering audience intelligence, activation, measurement, and reporting. This hands-on leadership role operates where distributed systems meet healthcare constraints, with privacy, compliance, and reliability baked in from design to deployment.

The ideal candidate brings deep data engineering experience, strong system design depth, and the ability to lead through architecture and