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Head of Data
Not specifiedFull-timeData EngineeringTicketingEntertainment
Build and lead the company’s data function from the ground up. Own its architecture, technology choices, data pipelines, warehouse, governance, and reporting, and make trusted data useful across product, engineering, marketing, operations, and commercial teams.
Responsibilities
- Select the data architecture and technology stack
- Build and maintain pipelines and integrations for marketplace, catalog, pricing, customer, marketing, and operational data
- Establish a single source of truth through data modeling and documentation
- Set data quality, governance, and monitoring standards, including alerting
- Build dashboards and reporting frameworks
- Partner with product and engineering to ensure events are captured appropriately
- Connect marketing and acquisition data with onsite behavior and transactions to measure CAC, ROAS, LTV, and cohorts
- Develop customer models and actionable segments for growth and CRM teams
- Use AI and LLM tools where they improve pipeline development, documentation, data quality, or analysis
- Turn business questions into scoped analysis and reliable production outcomes
Requirements
- At least 5 years of experience in data engineering, data infrastructure, or analytics engineering
- Experience building and owning data infrastructure from scratch
- Strong SQL and Python skills, with practical data modeling and ETL/ELT experience
- Hands-on experience with a cloud data warehouse, transformation tools such as dbt, and orchestration tools such as Airflow or Dagster
- Experience handling high-volume, messy data
- Ability to make independent technical decisions and own outcomes
- Ability to scope and reframe questions and work effectively with non-technical stakeholders
Nice to have
- Experience in a B2C marketplace, e-commerce, travel, ticketing, gaming, or fintech
- Experience with BI tools and trusted reporting layers
- Familiarity with streaming or near-real-time pipelines
- Experience with marketing attribution, customer data platforms, or reverse ETL
Benefits
- Company-wide ownership and impact
- Work at a profitable, growing company
- Access to large-scale data covering global events, live inventory, pricing, and demand