VP, Data Platform Engineering
Core
Lead the global data engineering organization to build and operate scalable data platforms, pipelines, and infrastructure supporting personalization, analytics, fraud prevention, and reporting for a live event ticketing and e-commerce business.
Role type
VP, Data Platform Engineering (Strategic IC + Team Leadership)
Builds
Global data lake/warehouse, batch and real-time streaming pipelines, data governance frameworks, and trusted data systems for Product, Data Science, and Finance.
Domain
Live entertainment ticketing, e-commerce, high-volume transactional systems
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Data platform strategy & architecture, scalable pipeline design (batch/streaming), data governance & compliance, distributed team leadership, cloud platform expertise, data quality & observability, budget management
Preferred skills
Experience with Snowflake/Redshift/BigQuery, Airflow/dbt, Kafka/Kinesis, AWS, NoSQL databases, vendor/outsourcing management
Technologies
Snowflake, Redshift, BigQuery, Airflow, dbt, Kafka, Kinesis, AWS, Oracle, DynamoDB
Responsibilities
Define data engineering strategy and roadmap; oversee design and operation of scalable data pipelines; evolve data lake/warehouse architecture; establish data governance and security standards; build and scale a high-performing global data engineering team; manage operating budgets and resources; partner with CTO, Data Science, and business stakeholders.
Seniority
Executive (VP), hands-on strategic leadership with team scaling
