Farther
AI-Native Data Platform Engineer
Hybrid - New York, NY
Sponsorship not specifiedDetected 64 days ago
PythonGitSQLElasticsearchRedshiftVector DatabasesAWSCI/CDPlatform EngineeringMachine LearningData EngineeringLLMsRAGAgentic AIMLOpsFinancial Modeling
About 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.
Responsibilities
- 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
- Implement reconciliation frameworks and golden-source resolution across multi-vendor datasets
- Implement observability, lineage, governance, and fine-grained access controls across regulated datasets
- 5+ years building production-grade data platforms
- An amazing collaborative atmosphere between product, design, and engineering to solve hard problems together
- Exposure to prompt engineering and structured context design for LLM systems
Requirements
- Strong understanding of custodial financial data (positions, trades, balances, performance, corporate actions)
- Experience with authorization and policy platforms (e.g., OSO, Auth0)
- Experience with data governance, lineage, and compliance controls
Benefits
- Learn & grow through book clubs, seminars, and peer learning sessions
- Full health benefits + 401(k) matching & Roth IRA options
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This listing is sourced directly from Farther's careers page and normalized into a canonical job model.