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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.
Mission-driven teams: Work alongside industry veterans from Meta, Uber, Citi, and Confluent, all united by a shared goal to make the digital world safer.
Ownership and impact: We believe in extreme ownership. You'll be empowered to take responsibility, move fast, and make decisions that drive our mission forward.
Innovate at the cutting edge: Your work will shape how modern finance detects fraud and manages risk.
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.
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About Oscilar Oscilar is building the AI Risk DecisioningTM platform for banks and fintechs. Our platform enables financial institutions to manage fraud, credit risk, compliance, and onboarding decisions in real time usi
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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.
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.
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.
AI risk platform serving banks, fintechs, credit unions, and organizations with fraud, credit, onboarding, and compliance tools.
Visit company websiteJobs and hiring trendsUSD 220000-262500 yearly / year
Full-time
Senior
Remote
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