Tilt
FinTech
StaffDataPlatformEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Staff Data Platform Engineer at Tilt. Skills: Data Platform Engineering, Data Architecture, Infrastructure as Code. Design Databricks Data Warehouse architecture. Act as pattern reviewer”
What You'll Achieve.
Make wait disappear; Extend platform safely; Build reusable systems
Industry & Context.
Root-cause analysis; Troubleshooting
Travel twice yearly
What They're Looking For.
Must Have
8+ years data engineering, Senior IC experience, Python experience, Object Oriented Language experience, Production-grade code experience, Testing experience, CI/CD experience, Infrastructure-as-Code experience, Cloud provider stack experience, Terraform experience, Data governance competence, Security competence, Multi-tenancy competence, Least-privilege access experience, Auditing experience, Lineage experience, Privacy-aware design experience
Nice to Have
Leverage AI tools
What You'll Do.
Design Databricks Data Warehouse architecture
Act as pattern reviewer
Act as architectural sounding board
Build secure self-service frameworks
Scale secure self-service frameworks
Optimize secure self-service frameworks
Lead root-cause analysis
Design governance guardrails
Design multi-tenancy guardrails
Automate data infrastructure
Harden data infrastructure
Conduct design review
Set technical standards
Make documentation deliverable
Ship patterns with docs
How You'll Work.
Team & Collaboration
Analytics teams; Data Science teams; App teams; Partner teams
Communication Scope
Technical documentation
Process & Methodology
CI/CD
Full Job Description
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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