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Vice President, Identity Engineering
Zeta GlobalLead the Identity & Data Platform at Zeta Global, managing a large engineering team and defining strategic direction. Drive innovative identity solutions leveraging advanced AI and data enrichment.
Tech Stack
Tools & technologiesAirflowAmazon RedshiftBigQueryDynamoDBSpark
About the role
Key responsibilities & impact- Own and define the strategic roadmap for the Identity & Data Layer, covering the full lifecycle (ingest → resolve → enrich → activate), with clear accountability for scalability, accuracy, latency, and reliability SLAs.
- Lead and inspire a team of ~50 engineers,
- Own the evolution of identity resolution and identity graph systems, advancing deterministic and probabilistic matching, cross-channel identity, and real-time enrichment as core competitive capabilities.
- Drive the evolution
- Collaborate cross-functionally with AI, marketing, and product teams to ensure seamless integration of identity services across Zeta’s platform.
- Establish the data layer as the context engine for Zeta’s AI-native platform, enabling real-time features, embeddings, and data access for models, agents, and downstream applications.
- Benchmark against industry leaders and innovate ahead of the market in identity solutions.
- Ensure compliance with privacy and data governance standards (e.g., CCPA, GDPR).
- Recruit, mentor, and develop top talent, while creating a strong succession plan for critical roles.
- Partner with executive leadership on strategy, investment, and prioritization, aligning platform evolution with business outcomes and long-term scalability.
- Collaborate with DevEx and AI Enablement teams to drive adoption of AI-native engineering practices across the data layer, improving developer productivity, code quality, and system evolution velocity.
Requirements
What you’ll need- 12+ years of engineering leadership, including significant time leading large-scale identity or data platforms.
- Deep domain expertise in identity resolution, identity graphs, and data enrichment—preferably with experience from a top competitor or parallel industry.
- 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
- Possess experience working on data technologies equivalent to:
- Snowflake, Redshift, BigQuery
- Iceberg, Hudi, Delta
- EMR, Airflow, Spark
- Aerospike, Scylla, DynamoDB
- Proven experience managing 50+ person organizations, including directors and senior engineering managers.
- Strong understanding of data governance, privacy, and compliance, including global standards such as GDPR and CCPA.
- Track record of innovation and driving measurable outcomes, including AI-driven or data-driven product capabilities.
- Exceptional communication skills
Benefits
Comp & perks- Unlimited PTO
- Excellent medical, dental, and vision coverage
- Employee Equity
- Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
identity resolutionidentity graphsdata enrichmentdata engineering design patternsData LakehouseData Table FormatZero-Copy Data SharingCleanroomreal-time data processingbatch data processing
Soft Skills
leadershipmentoringcommunicationcollaborationstrategic planninginnovationteam managementsuccession planningcross-functional collaborationinspiration