Lead Data Engineer - Healthcare Data & Audience Applications

Zeta Global is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence and consumer signals to enhance marketing efficiency. They are seeking a Lead Data Engineer to build and scale healthcare-focused applications and data systems that facilitate audience intelligence and reporting while ensuring compliance with healthcare regulations.

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

Requirements:

• 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
• Strong collaboration skills across engineering, product, and data teams
• 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