Vice President of Identity (Engineering)

Join Zeta as the Vice President of Identity (Engineering), where you will lead a critical layer of our platform focused on identity resolution, data ingestion, enrichment, and activation. You will define the long-term strategy for how identity and data power AI-native applications across the company. This role requires deep domain expertise in identity management, strong organizational leadership, and the ability to operate at both architectural and executive levels. You will directly report to the EVP & Head of Engineering and lead a team of approximately 50 engineers.

• Definir y poseer la hoja de ruta estratégica para la capa de identidad y datos, cubriendo todo el ciclo de vida (ingestión → resolución → enriquecimiento → activación).
• Liderar y motivar a un equipo de aproximadamente 50 ingenieros, siendo responsable de la evolución de los sistemas de resolución de identidad y gráficos de identidad.
• Colaborar de manera transversal con equipos de IA, marketing y producto para garantizar la integración fluida de los servicios de identidad en toda la plataforma de Zeta.
• Snowflake, Redshift, BigQuery
• Understand applicability, pros & cons & effectiveness of data engineering design patterns & concepts such as Data Lakehouse, Data Table Format, Zero-Copy Data Sharing, Cleanroom, Real-Time vs Batch Data Processing, High throughput distributed system APIs
• Track record of innovation and driving measurable outcomes, including AI-driven or data-driven product capabilities
• Exceptional communication skills
• 12+ years of engineering leadership, including significant time leading large-scale identity or data platforms
• Iceberg, Hudi, Delta
• Aerospike, Scylla, DynamoDB
• Strong understanding of data governance, privacy, and compliance, including global standards such as GDPR and CCPA
• Proven experience managing 50+ person organizations, including directors and senior engineering managers
• EMR, Airflow, Spark
• Possess experience working on data technologies equivalent to:
• Deep domain expertise in identity resolution, identity graphs, and data enrichment—preferably with experience from a top competitor or parallel industry