Head of Data

About SeatPick

SeatPick is a profitable, fast-growing global secondary ticket marketplace. We help fans find the best tickets to sports, concerts, and festivals by comparing inventory across dozens of sellers and brokers – using technology and data to make a messy market simpler and more transparent.

The scale is the point. Tens of millions of fans come through SeatPick every year across 17 markets, and behind them sits a live picture of the entire secondary market – millions of events and listings pulled from dozens of marketplaces and brokers, with prices and quantities moving continuously. On top of that, every search, filter, click, and booking those fans generate. Very few companies in live events hold a dataset this deep. Almost none of it is modelled today.

We have the data. We don't yet have the data function. That's this role.

The Role

You'll build SeatPick's data foundation from zero and own it end to end: architecture, stack selection, pipelines, warehouse, governance, and the reporting layer on top.

This is our first data hire and a company-wide mandate, not a service desk. You'll work with product, engineering, marketing, operations, and commercial teams – and you'll be the person who decides what our single source of truth looks like.

The goal: data that connects the full customer journey – from acquisition to onsite behavior, purchase, CRM and revenue – and is used across the business, not just in reports.

What You'll Do:

• Choose the architecture and stack – warehouse, ingestion, transformation, orchestration, BI – and justify the choices
• Build and own pipelines and integrations across marketplace, catalog, pricing, customer, marketing, and operational data
• Establish a single source of truth, with the modeling and documentation that makes it trustworthy
• Set standards for data quality, governance, and monitoring, and build the alerting that catches breakage before stakeholders do
• Build dashboards and reporting frameworks teams actually use to make decisions
• Work with product and engineering to make sure the right events get captured in the first place
• Connect acquisition and marketing data with onsite behavior and transactions to enable reliable measurement of CAC, ROAS, LTV and cohorts
• Build a customer data model and segments that Growth and CRM teams can act on
• Use AI and LLM tooling wherever it earns its place – pipeline development, documentation, data quality, and analysis – so one person can cover ground a team normally would
• Turn vague business questions into reliable answers – scoping, analysis, and follow-through to production

What We're Looking For:

• 5+ years in data engineering, data infrastructure, or analytics engineering
• Built data infrastructure from scratch and owned it end to end – not just contributed to an existing platform
• Strong SQL and Python, with real experience in data modeling and ETL/ELT design
• Hands-on with a modern stack: cloud warehouse (BigQuery / Snowflake / Redshift), transformation (dbt or equivalent), orchestration (Airflow, Dagster, or similar)
• Experience with genuinely high-volume, messy data at scale – not a well-behaved reporting database
• Comfortable being the entire function – deciding, building, and owning the outcome, with the autonomy that comes with it
• Credible with non-technical stakeholders – able to scope, push back, and reframe the question when the question is wrong

Advantage:

• B2C marketplace, e-commerce, travel, ticketing, gaming or fintech background
• Experience with BI tooling and building a reporting layer people trust
• Familiarity with streaming or near-real-time pipelines
• Experience with marketing and customer data – attribution, connecting Google/Meta with first-party conversion data, CDPs (Segment, RudderStack) or reverse ETL

Why SeatPick:

• Real ownership – you define the architecture, pick the tools, and set the standards
• Profitable and growing – no runway anxiety, decisions made on merit
• Company-wide impact – your work feeds product, marketing, pricing, and leadership decisions directly
• Genuinely interesting data – global events, live inventory, dynamic pricing, and demand that moves by the hour