Zeta Global is hiring a Director of Engineering to lead the Prospect Audiences team (~10 engineers) responsible for the Third-Party Audiences product. The role involves ownership of engineering, architecture, and technology, delivering roadmap items, collaborating with product and business teams, and driving AI-native SDLC adoption. Responsibilities include team leadership, mentoring, system ownership including deployments and monitoring, cost optimization, and ensuring data pipeline reliability. Candidates must have 10+ years of software engineering experience with leadership in large-scale data systems, expertise in batch and real-time data processing, knowledge of data engineering patterns and cloud architectures, and experience with technologies such as Snowflake, Redshift, BigQuery, Iceberg, Hudi, Delta, EMR, Airflow, Spark, Aerospike, Scylla, DynamoDB, and AWS. Exceptional communication skills and a track record of innovation are required. Location: Bengaluru, Karnataka, India.
What you'll do
Lead the Prospect Audiences team (~10 engineers), fostering a culture of innovation, collaboration, and operational excellence
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Guide the team to deliver roadmap work items on time, of high quality, within organizational processes and guidelines
Collaborate with product and business teams to shape the future and long-range roadmap
Collaborate with DevEx & AI Enablement teams to drive adoption of AI-native SDLC in the agentic software development paradigm
Partner with architects to build world-class data ingestion and processing architecture and drive technological innovation
Recruit, mentor, and develop top talent within the team and data layer
Own the system end to end, including production deployments, monitoring, distributed tracing, defining SLOs and thresholds for alerting, and managing on-call support for production incidents
Monitor cost profile of owned systems, participate in cost optimization initiatives and projects
Ensure reliable, testable pipelines and datasets with quality checks, lineage/observability, and clear contracts/SLAs between data producers and consumers
Requirements
10+ years of software engineering experience, including significant time leading large-scale data systems and teams
Deep domain expertise in batch & real-time data processing systems
Understanding 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
Experience working on data technologies equivalent to Snowflake, Redshift, BigQuery, Iceberg, Hudi, Delta, EMR, Airflow, Spark, Aerospike, Scylla, DynamoDB
Strong understanding of cloud data architectures (AWS, Snowflake, etc.)
Track record of innovation and driving measurable outcomes, including AI-driven or data-driven product capabilities
