Real-Time Fraud Data Architect – Hybrid/Remote

Programmers.io; New York (NY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Programmers.io is seeking a seasoned data architecture professional for a contract/full-time role in New York City, offering hybrid or remote work. You will design and implement the fraud data platform and the end-to-end data mesh, focusing on real-time decisioning, lakehouse modeling, and data virtualization to empower investigators with contextual insights.

You will participate in design reviews, write specs, and set partitioning, latency budgets, and state-management strategies.

Qualifications

• Experience implementing data mesh architecture with Palantir Foundry in a fraud/financial services context.
• Strong understanding of real-time data pipelines and architecture patterns.
• Ability to define data products, governance, and federation in a distributed environment.

Responsibilities

• Fraud data architecture: own end-to-end design across latency tiers: decision plane, investigation plane, and model/analytics plane.
• Working knowledge of Palantir Data Foundry and Data Mesh implementation; lakehouse design and build.
• Data mesh implementation: define topology, contracts, quality metrics, and federated governance.
• Data virtualization: design federated access layer for investigation and analytics.
• Real-time data path: design streaming ingestion, ISO 20022 event model, and low-latency feature state store.
• Non-functional design: latency budgets, throughput modelling, resilience, data residency, retention, lineage, and encryption.

Skills

Palantir Foundry

Data Mesh architecture

Real-time data path

Latency budgets

Job description

Programmers.io is seeking a seasoned data architecture professional for a contract/full-time role in New York City, offering hybrid or remote work. You will design and implement the fraud data platform and the end-to-end data mesh, focusing on real-time decisioning, lakehouse modeling, and data virtualization to empower investigators with contextual insights.

You will participate in design reviews, write specs, and set partitioning, latency budgets, and state-management strategies.