AI-Native Data Platform Engineer

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