Ai-Native Data Platform Engineer

Farther Finance

  • Hybrid - New York, NY
  • 30+ days ago

    Highlights

    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.u003c/pu003enu003cpu003eWe are building autonomous agents that reason over and act on platform state - and you will define the data layer that makes that possible.u003c/pu003enu003cpu003eu003cstrongu003eYour 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.u003c/pu003enu003cpu003eAI systems only perform as well as the structure beneath them.

    Numbers & Facts

    LocationHybrid - New York, NY

    Description

    u003cpu003eu003cstrongu003eThe Roleu003c/strongu003eu003c/pu003enu003cpu003eAs 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.u003c/pu003enu003cpu003eAI 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.u003c/pu003enu003cpu003eWe are building autonomous agents that reason over and act on platform state - and you will define the data layer that makes that possible.u003c/pu003enu003cpu003eu003cstrongu003eYour Impactu003c/strongu003eu003c/pu003enu003culu003enu003cliu003eDesign scalable ingestion pipelines across custodians (Schwab, Fidelity, Pershing, etc.) and internal financial systemsu003c/liu003enu003cliu003eBuild and evolve canonical models for accounts, positions, transactions, balances, corporate actions, and household hierarchiesu003c/liu003enu003cliu003eDefine financial data ontology and enforce strong data contracts across servicesu003c/liu003enu003cliu003eImplement reconciliation frameworks and golden-source resolution across multi-vendor datasetsu003c/liu003enu003cliu003eEngineer AI-ready data layers optimized for embeddings, vector search, and RAG architecturesu003c/liu003enu003cliu003eStructure financial datasets to improve prompt reliability and LLM output consistencyu003c/liu003enu003cliu003eArchitect closed-loop, agent-driven systems that monitor, reason over, and autonomously remediate data inconsistenciesu003c/liu003enu003cliu003eImplement observability, lineage, governance, and fine-grained access controls across regulated datasetsu003c/liu003enu003c/ulu003enu003cpu003eu003cstrongu003eThe Ideal Matchu003c/strongu003eu003c/pu003enu003culu003enu003cliu003e5+ years building production-grade data platformsu003c/liu003enu003cliu003eDeep SQL expertise and strong Python for data engineeringu003c/liu003enu003cliu003eExperience designing canonical schemas and resolving vendor data inconsistenciesu003c/liu003enu003cliu003eStrong understanding of custodial financial data (positions, trades, balances, performance, corporate actions)u003c/liu003enu003cliu003eFamiliarity with embeddings, vector databases, and retrieval architecturesu003c/liu003enu003cliu003eExposure to prompt engineering and structured context design for LLM systemsu003c/liu003enu003cliu003eKnowledge of MLOps fundamentals (versioning, monitoring, reproducibility)u003c/liu003enu003cliu003eComfortable with AWS data services (S3, Lambda, ECS, Glue, Redshift, OpenSearch) and event-driven orchestrationu003c/liu003enu003cliu003eStrong ownership mindset and systems-level thinkingu003c/liu003enu003c/ulu003enu003cpu003eu003cstrongu003eBonus Pointsu003c/strongu003eu003c/pu003enu003culu003enu003cliu003eWealth management or capital markets backgroundu003c/liu003enu003cliu003eExperience integrating OpenAI or Anthropic APIs into production systemsu003c/liu003enu003cliu003eExperience designing retrieval schemas for AI agentsu003c/liu003enu003cliu003eExperience with authorization and policy platforms (e.g., OSO, Auth0)u003c/liu003enu003cliu003eExperience implementing fine-grained access control for AI-driven systemsu003c/liu003enu003cliu003eFamiliarity with GitHub-based CI/CD workflows and automationu003c/liu003enu003cliu003eExperience with data governance, lineage, and compliance controlsu003c/liu003enu003c/ulu003enu003cpu003eu003cstrongu003eWhy Join Usu003c/strongu003eu003c/pu003enu003culu003enu003cliu003eLearn u0026amp; grow through book clubs, seminars, and peer learning sessionsu003c/liu003enu003cliu003eFull health benefits + 401(k) matching u0026amp; Roth IRA optionsu003c/liu003enu003cliu003eUnlimited PTOu003c/liu003enu003cliu003eAn amazing collaborative atmosphere between product, design, and engineering to solve hard problems togetheru003c/liu003enu003c/ulu003enu003cpu003eu003cstrongu003eReady to disrupt wealth management? Let's talk!u003c/strongu003eu003c/pu003enu003cpu003eu0026nbsp;u003c/pu003e

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