Director of Engineering

4 weeks, 2 days ago
Full-time
Executive
Software Development
Zeta Global

Zeta Global

Zeta Global provides an AI-powered marketing cloud that enables enterprises to acquire, grow, and retain customers through precision marketing, leveraging data science, advanced analytics, and machine learning to create optimized customer experiences.

Media
1K-5K
Founded 2007

Description

  • Lead the Prospect Audiences team of about 10 engineers and foster innovation, collaboration, and operational excellence.
  • Own the Third-Party Audiences product from an engineering, architecture, and technology perspective.
  • Drive delivery of roadmap items on time and at high quality within organizational processes and guidelines.
  • Collaborate with product and business stakeholders to shape the product and long-range roadmap.
  • Partner with DevEx and AI Enablement teams to support adoption of AI-native SDLC practices.
  • Work with architects to design and evolve a world-class data ingestion and processing architecture.
  • Recruit, mentor, and develop strong engineering talent within the team and broader data layer.
  • Own production operations end to end, including deployments, monitoring, distributed tracing, SLOs, alerting, and on-call incident response.
  • Monitor system cost profiles and lead cost optimization efforts and projects.
  • Ensure reliable, testable pipelines and datasets with quality checks, lineage, observability, and clear producer-consumer SLAs.

Requirements

  • 10+ years of software engineering experience, including significant leadership of large-scale data systems and teams.
  • Deep expertise in batch and real-time data processing systems.
  • Strong understanding of data engineering design patterns and concepts such as Data Lakehouse, data table formats, zero-copy data sharing, cleanroom, and high-throughput distributed system APIs.
  • Experience with data technologies such as Snowflake, Redshift, BigQuery, Iceberg, Hudi, Delta, EMR, Airflow, Spark, Aerospike, Scylla, or DynamoDB.
  • Strong understanding of cloud data architectures, including AWS and Snowflake.
  • Track record of innovation and delivering measurable outcomes, including AI-driven or data-driven product capabilities.
  • Exceptional communication skills.
  • Experience with AI-native software development or agentic software development paradigms is preferred.
  • Experience driving cost optimization in data or platform systems is preferred.

Interested in this position?

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