Staff Data Platform Engineer

Tilt is a mobile-first financial technology company that uses machine learning to create a new credit system. They are seeking a Staff Data Platform Engineer to lead the technical architecture and build self-service frameworks for data, enabling other teams to operate efficiently without bottlenecks.

Responsibilities:

• Design the technical architecture of the Databricks Data Warehouse — ingestion, storage, compute, orchestration, governance, and observability — and act as the pattern reviewer and architectural sounding board for the team
• Build, scale, and optimize secure, self-service frameworks for batch and streaming data so the same request shape is never solved by hand twice
• Treat the platform like production software: define and defend SLOs, own lineage and observability, and lead incident triage and root-cause analysis to durable fixes
• Design governance and multi-tenancy as first-class guardrails — least-privilege access, auditing, cost controls, and privacy-aware patterns — across app-team schemas and multiple workspaces
• Automate and harden data infrastructure and CI/CD so the warehouse stays safe to change at scale
• Raise the team’s technical bar through design review, code review, and mentorship, setting standards that are adopted because they’re good
• Make documentation a first-class deliverable — every pattern ships with the docs that let an analyst, partner team, or AI agent use it without asking us

Requirements:

• 8+ years of data engineering / data platform experience, including significant time as a senior IC building reusable infrastructure that other teams depend on at scale
• Demonstrated technical leadership — setting architecture direction, reviewing designs, and mentoring engineers on a data platform team
• Strong software-engineering fundamentals in Python (or another Object Oriented Language) — production-grade code, testing, CI/CD, and Infrastructure-as-Code (Terraform or similar) on a cloud provider stack (Azure, AWS, or GCP)
• Experience with Terraform or similar Infrastructure-as-Code (IaC) tools, and a cloud provider stack (AWS, GCP, or Azure)
• Data governance, security, and multi-tenancy competence — least-privilege access, auditing, lineage, and privacy-aware design
• Able to effectively leverage AI-powered development tools (e.g., Claude, Augment) to enhance productivity, code quality, and collaboration