Staff Engineer — Data Platform & Analytics Architect

Oscilar; United States; Remote; USD 140,000 - 240,000; Full time

Benefits offered by this job

Competitive salary

Stock options

Medical/Dental for you and dependents

Life/LTD insurance

Caju Card for meal allowance

Remote first culture

Team events and offsites

Professional development

Job summary

Oscilar is building an AI Risk Decisioning platform that enables banks and fintechs to manage fraud, credit, and compliance risk with AI. You will own the data layer behind our analytics product and shape the analytics architecture and data model, ensuring fast, scalable serving while planning a broader tiered platform.

This hands-on engineering role blends coding with architectural influence, guiding multi-quarter direction of the analytics platform and collaborating across ingestion and

Qualifications

• Deep, production experience operating a database or analytical store under concurrent, customer-facing load.
• Strong SQL and a real mental model of columnar / OLAP execution.
• Solid backend engineering. Our stack is Java, but we care more that you can read and modify a real codebase than which tools you’ve used.
• Data architecture experience: you’ve designed or materially shaped a multi-tier data platform and can defend those decisions with measurements.

Responsibilities

• Find and fix database performance and scaling problems.
• Own the schema and data model for our analytical data.
• Design and build our analytics architecture: a tiered platform spanning our system of record, a low-latency serving tier, and a batch/ML tier.
• Decide where each workload runs across those tiers, backing placement decisions with benchmarks.
• Build observability into the data layer so problems surface early.
• Partner with the ingestion team to keep the read and write paths coherent as schemas evolve.

Skills

Strong SQL

Backend engineering

Data architecture

Columnar/OLAP execution

Codebase literacy

Tools

Java

Job description

Oscilar is building an AI Risk Decisioning platform that enables banks and fintechs to manage fraud, credit, and compliance risk with AI. You will own the data layer behind our analytics product and shape the analytics architecture and data model, ensuring fast, scalable serving while planning a broader tiered platform.

This hands-on engineering role blends coding with architectural influence, guiding multi-quarter direction of the analytics platform and collaborating across ingestion and