Farther
AI-Native Data Platform Engineer
Hybrid - New York, NY +1 · Full-time · Posted Apr 14, 2026
- Location
- Hybrid - New York, NY
New York, New York, United States - Experience
- 5+ years building production-grade data platforms.
About the job
Designs and owns the canonical data platform that supports Farther’s financial AI systems, including safe, reliable agent-driven workflows in regulated wealth management.
What you'll do
- Build custodian and internal-system ingestion pipelines, canonical financial models, and data contracts.
- Implement reconciliation, source resolution, observability, lineage, governance, and access controls for financial data.
- Develop AI-ready data layers and agent-driven workflows using embeddings, retrieval, and LLMs.
What they ask for
- 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, vector databases, and retrieval architectures.
Nice to have
- Wealth management or capital markets background.
- Experience integrating OpenAI or Anthropic APIs into production systems.
Tools
SQL, Python, AWS, S3, Lambda, ECS, Glue, Redshift
AI focus
Build AI-ready data foundations for embeddings, vector search, RAG, LLMs, and autonomous agents that monitor and remediate data inconsistencies.
Model-written summary · the original posting is authoritative