$ cat jobs/staff-data-platform-engineer-tilt-com-1c2ee81890b4.json
Staff Data Platform Engineer
Join the Tilt team At Tilt , we see a side of people that traditional lenders miss. Our mobile-first products and machine learning-powered credit models look beyond credit scores, using over 250 real-time financial signals to recognize real potential. With millions of customers worldwide , we're not just changing how people access financial products — we're creating a new credit system that backs the working, whatever they're working toward. The Opportunity: Staff Data Platform Engineer Tilt runs on data-driven decisions, and our Data Platform is what makes that possible. Over the last two years our team built the governed, queryable Databricks warehouse the company now operates on, plus the dbt gold layer that turns raw data into something teams can actually use. Today the company can't build models, perform analytics or measure anything without us. The job ahead isn't building the warehouse; it's scaling how we extend it so Analytics, Data Science, and app can move fast without bottlenecking on us. Every time one of those teams waits on a ticket, the whole company's decision-making slows down. Our job is to make that wait disappear. As our Staff Data Platform Engineer, you'll be the technical lead: a senior individual contributor who sets the architecture and builds the patterns, paved roads, and self-service flows that let other teams build on the platform safely — without filing a ticket and waiting. You won't be measured by the pipelines you personally ship, but by the leverage and reliability the platform gives everyone else. We work in Python to build tooling for loading Databricks, Azure Event Hub, and Terraform, and we operate pattern-first: every project leaves a reusable system behind. Tilt is a remote-first company. We drive connectivity through regular company offsites. Travel for company offsites is expected at a minimum 2 times a year. How You'll Make an Impact Design the technical architecture of the Databricks Data Warehouse — ingestion, storage, co
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