Senior Data Architect

This is a hands-on, high ownership role. You will be responsible for the architecture, reliability, and scalability of our data warehouse, transformation layer, orchestration, and analytics stack. You will navigate and improve our existing systems across Snowflake, Dagster, dbt, Postgres, Metabase, and ContextFlow, while defining standards that allow us to scale intelligently. We are not looking for someone who just writes SQL. We are looking for someone who understands data deeply, thinks structurally, and can design systems that last., * Audit and improve existing dbt models for clarity, performance, and correctness

• Review and stabilise Dagster orchestration pipelines
• Identify data quality gaps and implement testing standards
• Ensure key dashboards in Metabase are built on reliable, well-modelled datasets
• Document the current system and define architectural standards

3+ months

• Redesign and optimise warehouse architecture where needed
• Implement scalable data modelling patterns across domains
• Improve cost efficiency and performance in Snowflake
• Introduce stronger observability, testing, and lineage practices
• Enable AI and product features by structuring high-quality, production-ready datasets
• Establish clear version control and deployment workflows for data changes
• Partner with product and engineering to define data contracts and ownership, * You'll be joining a mission-driven team backed by world-class investors (TechCrunch)
• You'll own meaningful systems from day one, with real scope and autonomy
• You'll work alongside curious, kind, and wickedly smart teammates
• You'll help redefine how millions of people shop online, * MacBook and tech budget to get you set up your way
• Gym membership
• Free Deliveroo if you're working late

We welcome applicants from all backgrounds and experiences, and we're committed to fostering an inclusive, diverse workplace.

Do you have experience in Software development?, * Strong technical background in Computer Science, Engineering, Mathematics or similar. Equivalent practical experience is equally valued

• Deeply comfortable navigating modern data stacks, especially Snowflake, dbt, and orchestration tools
• Rare combination of analytical rigour and pragmatic execution
• You genuinely understand data modelling, not just SQL queries
• Highly autonomous. You do not need hand-holding or micromanagement
• First principles thinker who questions assumptions and improves systems
• Comfortable operating in ambiguity and building structure where none exists
• Clear communicator who can explain complex data decisions to non-technical stakeholders
• You care about clean systems, reproducibility, and long-term maintainability

Nice to have

• Experience with Dagster in production
• Familiarity with Postgres operational databases
• Experience working with Metabase or similar BI tools
• Exposure to AI workflows or tools like ContextFlow
• Strong Git habits and version control discipline
• Understanding of software development lifecycle and engineering best practices
• Experience in fast-moving startup environments