AI-Native Data Platform Engineer

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

Company Description

Farther is a rapidly growing RIA that combines expert advisors with cutting-edge technology - delivering a comprehensive, tailored wealth management experience.

Farther’s founders are leaders and innovators from the private wealth industry who possess a unique blend of traditional wealth management, fintech, and technology production expertise. We’re backed by top-tier venture capital firms, fintech investors, and industry leaders.

Joining Farther means joining a collaborative team of entrepreneurs who are passionate about helping their clients and our teammates achieve more. If you’re the type who breaks through walls to get things done the right way, we want to build the future of wealth management with you.

The Role

As an AI-Native Data Platform Engineer at Farther, you will design and own the canonical data foundations powering our financial AI systems. This role sits at the core of our platform — building the ontology, data contracts, and reconciliation frameworks that enable intelligent agents to operate safely and autonomously.

AI systems only perform as well as the structure beneath them. You will architect custodial data pipelines, canonical financial models, and AI-ready schemas that support embeddings, retrieval systems, and agent-driven workflows in a regulated wealth management environment.

We are building autonomous agents that reason over and act on platform state — and you will define the data layer that makes that possible.

Your Impact

• Design scalable ingestion pipelines across custodians (Schwab, Fidelity, Pershing, etc.) and internal financial systems
• Build and evolve canonical models for accounts, positions, transactions, balances, corporate actions, and household hierarchies
• Define financial data ontology and enforce strong data contracts across services
• Implement reconciliation frameworks and golden-source resolution across multi-vendor datasets
• Engineer AI-ready data layers optimized for embeddings, vector search, and RAG architectures
• Structure financial datasets to improve prompt reliability and LLM output consistency
• Architect closed-loop, agent-driven systems that monitor, reason over, and autonomously remediate data inconsistencies
• Implement observability, lineage, governance, and fine-grained access controls across regulated datasets

The Ideal Match

• 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 (positions, trades, balances, performance, corporate actions)
• Familiarity with embeddings, vector databases, and retrieval architectures
• Exposure to prompt engineering and structured context design for LLM systems
• Knowledge of MLOps fundamentals (versioning, monitoring, reproducibility)
• Comfortable with AWS data services (S3, Lambda, ECS, Glue, Redshift, OpenSearch) and event-driven orchestration
• Strong ownership mindset and systems-level thinking

Bonus Points

• Wealth management or capital markets background
• Experience integrating OpenAI or Anthropic APIs into production systems
• Experience designing retrieval schemas for AI agents
• Experience with authorization and policy platforms (e.g., OSO, Auth0)
• Experience implementing fine-grained access control for AI-driven systems
• Familiarity with GitHub-based CI/CD workflows and automation
• Experience with data governance, lineage, and compliance controls

Why Join Us

• Learn & grow through book clubs, seminars, and peer learning sessions
• Full health benefits + 401(k) matching & Roth IRA options
• Unlimited PTO
• An amazing collaborative atmosphere between product, design, and engineering to solve hard problems together

Ready to disrupt wealth management? Let's talk!