About the job
About Tilt
At Tilt, we are on a mission to Make Commerce Alive. Our platform revolutionizes the traditional e-commerce landscape, moving away from outdated website builders and faceless marketplaces to create vibrant, community-driven experiences for the new generation of merchants. With millions of engaged shoppers across the UK, from sneaker enthusiasts to collectors, Tilt empowers sellers to achieve remarkable earnings, often exceeding £1M. We are just getting started!
Your Mission
As our Lead Data Engineer, you will take charge of shaping and advancing our comprehensive data platform. This is a hands-on role with significant ownership where you will oversee the architecture, reliability, and scalability of our data warehouse and analytics stack. Your expertise will help refine our existing systems, including Snowflake, Dagster, dbt, Postgres, Metabase, and ContextFlow, while establishing standards for intelligent growth. We seek an individual who not only writes SQL but deeply understands data, thinks critically, and designs enduring systems.
What You’ll Do
0–3 months
Gain an in-depth understanding of our Snowflake warehouse architecture
Audit and enhance existing dbt models for clarity and performance
Stabilize and review Dagster orchestration pipelines
Identify data quality gaps and implement rigorous testing standards
Ensure key dashboards in Metabase are based on reliable datasets
Document current systems and define architectural standards
3+ months
Redesign and optimize warehouse architecture where necessary
Implement scalable data modeling patterns across various domains
Enhance cost efficiency and performance in Snowflake
Introduce advanced 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
Collaborate with product and engineering teams to define data contracts and ownership

