AI-Driven Data Platform Engineer for Wealth Tech

Cardata; New York (NY); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Full health benefits

401(k) matching

Unlimited PTO

Job summary

Cardata in New York is looking for an experienced AI-Native Data Platform Engineer to design and own data foundations for financial AI systems. The ideal candidate has over 5 years of experience building data platforms, deep SQL expertise, and strong Python skills. You will architect data pipelines and models while ensuring strong data contracts and governance. The role offers full health benefits, 401(k) matching, and unlimited PTO in a collaborative team environment.

Qualifications

• 5+ years building production-grade data platforms.
• Deep SQL expertise and strong Python for data engineering.
• Experience designing canonical schemas and resolving vendor data inconsistencies.
• Strong understanding of custodial financial data.
• Familiarity with embeddings and vector databases.

Responsibilities

• Design scalable ingestion pipelines across custodians and internal systems.
• Build and evolve canonical models for financial data.
• Define financial data ontology and enforce strong data contracts.
• Implement reconciliation frameworks across multi-vendor datasets.
• Engineer AI-ready data layers optimized for embeddings.

Skills

SQL expertise

Python for data engineering

Building production-grade data platforms

Data governance

MLOps fundamentals

Event-driven orchestration

Tools

AWS data services

GitHub-based CI/CD workflows

Job description

Cardata in New York is looking for an experienced AI-Native Data Platform Engineer to design and own data foundations for financial AI systems. The ideal candidate has over 5 years of experience building data platforms, deep SQL expertise, and strong Python skills. You will architect data pipelines and models while ensuring strong data contracts and governance. The role offers full health benefits, 401(k) matching, and unlimited PTO in a collaborative team environment.