Zeta Global seeks a Lead Data Engineer to build and scale healthcare-focused data systems for audience intelligence, activation, measurement, and reporting in HCP and DTC workflows. The role involves designing distributed systems, data pipelines, identity resolution, and reporting systems while ensuring privacy, compliance, and reliability under HIPAA and healthcare regulations. Responsibilities include defining healthcare data architecture, leading ingestion and transformation across platforms like Snowflake and Athena, partnering on data certification and SLAs, designing governed views with access controls, setting operational readiness criteria, mentoring engineers, supporting compliance audits, and applying privacy-by-design principles. Required skills include 8+ years in data engineering, expertise in SQL, Python, Java, batch and streaming data processing, system design, and experience in regulated environments. Preferred experience includes healthcare data providers, AdTech/MarTech platforms, privacy-enhancing technologies, and ML/AI data products. Benefits include unlimited PTO, medical/dental/vision coverage, employee equity, discounts, wellness classes, and pet insurance. Salary range is $180,000 to $200,000 based on location and experience.
What you'll do
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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 (preferred)
Background in AdTech, MarTech, or audience/data platforms (preferred)
Experience with privacy-enhancing technologies (tokenization, clean rooms) (preferred)
Exposure to ML/AI-driven data products or analytics systems (preferred)
