Staff Engineer - Analytics & Data Architecture

Role Description

You'll own the data layer behind our analytics product and design of our analytics architecture and data model. Today that's a high-performance analytical store serving customer-facing queries; where we're headed is a tiered platform that separates our system of record, a low-latency serving tier, and a batch/ML tier. You'll keep the serving layer fast and reliable while designing and building that broader architecture, deciding where each workload lives based on measured latency, cost, and isolation.

This is a hands-on engineering role with strong architectural influence. You'll write code and also shape the multi-quarter direction of the analytics platform.

What you'll do

• 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 real benchmarks rather than vendor claims.
• 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.

Qualifications

• Deep, production experience operating a database or analytical store under concurrent, customer-facing load: you can reason from a query plan to a fix, not just from documentation.
• 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.

Requirements

• Strongly preferred:
• Lakehouse experience: Databricks, Spark, Delta Lake / Iceberg, or comparable.
• Experience designing schemas for wide, semi-structured event data (nested objects, maps, JSON).
• Streaming ingestion experience (Kafka or similar).
• Track record of a migration or major re-architecture, with the cost/latency reasoning to back the decisions.
• Nice-to-have:
• ClickHouse experience.
• Connection-pool and JDBC-level tuning experience.
• Familiarity with feature-flagged rollouts of query-engine behavior changes.
• Open-source contributions to a query engine or related tooling.

Benefits

• Compensation: Candidates are hired as CLT and are offered competitive salary.
• Stock Options: Candidates will receive stock options.
• Benefits: 100% of your Medical/Dental (Care Plus) for you and your dependents; 100% Life / LTD (Prudential).
• Caju Card: We offer a Caju Card for monthly meal allowance.
• Flexibility: Remote first culture.
• Culture: Family-Friendly environment; Regular team events and offsites.
• Development: Unparalleled learning and professional development opportunities.
• Impact: Making the internet safer by protecting online transactions.