AI-Native Data Platform Engineer
AI summary of the role
Design and own the canonical data foundations powering Farther's financial AI systems, building ontology, data contracts, and reconciliation frameworks for autonomous agents in a regulated wealth management environment.
What you’ll do
- 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
What you’ll bring
- 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)
Technologies
SQL · Python · AWS · S3 · Lambda · ECS · Glue · Redshift · OpenSearch · embeddings · vector databases · RAG
About Farther
Tech-enabled wealth manager for affluent clients and advisors, combining proprietary planning and investing software with human advisors and family-office-style service.
Series C · 500–1000 people
Source and classification
Internal deployment & tooling · Evidence for this classification:
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
More from the 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 ov [... source excerpt omitted ...] mously 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, reproducibili [... source excerpt omitted ...] estration 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
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