Lead Data Engineer - Healthcare Data & Audience Applications
Zeta Global2 months ago
Base Salary
$180k - $200k/yr
Responsibilities
- Define and maintain healthcare data architecture, interface contracts, ADRs, schemas, and staged delivery plans.
- Lead ingestion and transformation patterns across Snowflake, Athena/S3, MySQL, and approved healthcare data stores.
- Design healthcare base and vertical models, governed views, semantic cubes, domain APIs, data contracts, access controls, masking, and versioning.
- Build scalable pipelines, identity resolution and linkage services, reporting and attribution systems, APIs, and foundational healthcare data products.
- Set SLOs and operational readiness criteria, including dashboards, alerts, runbooks, rollback paths, and incident ownership.
- Partner with Data Cloud, Product, and Data teams on source certification, identity validation, requirements, architecture, and data availability SLAs.
- 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 CERT approval decisions.
- Apply privacy-by-design principles and drive engineering practices for testing, CI/CD, code quality, and operational excellence.
Requirements
- 8+ years of data engineering experience with increasing technical ownership.
- Expert SQL and strong Python and Java experience, including batch and streaming patterns, orchestration, testing, and schema evolution.
- Proven experience building and scaling data-intensive or distributed systems using microservices and event-driven architectures.
- Strong understanding of data modeling, OLTP and OLAP storage systems, data-processing frameworks, performance optimization, and scalability trade-offs.
- Experience with streaming and batch technologies such as Kafka, Spark, or Flink; workflow orchestration such as Apache Airflow; and data warehouses or lakehouse platforms such as Snowflake or Databricks.
- Experience with AWS, GCP, or Azure, infrastructure as code, Docker, Kubernetes, observability, and reliability patterns.
- Experience designing REST or gRPC APIs and working with healthcare data, HCP or patient/DTC workflows, identity graphs, reporting or attribution systems, or regulated data environments.
- Strong understanding of HIPAA, PHI/PII, privacy-aware data handling, lineage, data quality, access control, masking, retention, auditability, observability, and cost controls.
- Strong system design, architecture, technical leadership, hands-on implementation, and cross-functional collaboration skills.
- Preferred: healthcare data provider or identity ecosystem experience, AdTech or MarTech background, privacy-enhancing technologies such as tokenization or clean rooms, and exposure to ML/AI-driven data products or analytics systems.
Benefits
- Unlimited PTO.
- Medical, dental, and vision coverage.
- Employee equity.
- Employee discounts, virtual wellness classes, and pet insurance.
Tech Stack
Apache AirflowApache FlinkApache KafkaApache SparkAWSAzureDatabricksDockerGoogle Cloud PlatformgRPCJavaKubernetesMySQLPythonRubySnowflakeSQL
Categories
BackendData Engineering
About Zeta Global
Zeta Global builds an AI-powered marketing cloud that unifies customer data, analytics, and omnichannel activation for enterprise brands and agencies. Its Zeta Marketing Platform combines martech and adtech—spanning CRM, email, display, and social—to acquire, grow, and retain customers on a subscription and media-buying model. Founded in 2007 and headquartered in New York City, Zeta is a public company trading on the NYSE under the ticker ZETA.