AI-Native Data Platform Engineer at Farther

About The Role

Join Farther, a rapidly growing venture-backed firm, as an AI-Native Data Platform Engineer. In this role, you will design and own the foundational data structures that power our financial AI systems. You will architect custodial data pipelines, canonical financial models, and AI-ready schemas, enabling intelligent agents to operate safely and autonomously. This position offers the opportunity to work with a talented team of professionals and drive the success of a cutting-edge company in the wealth management industry.

Design and own the canonical data foundations powering financial AI systems, including the ontology, data contracts, and reconciliation frameworks.
Architect custodial data pipelines, canonical financial models, and AI-ready schemas that support embeddings, retrieval systems, and agent-driven workflows.
Implement observability, lineage, governance, and fine-grained access controls across regulated datasets, ensuring compliance and data integrity.
5+ years building production-grade data platforms
Exposure to prompt engineering and structured context design for LLM systems
Familiarity with embeddings, vector databases, and retrieval architectures
Comfortable with AWS data services (S3, Lambda, ECS, Glue, Redshift, OpenSearch) and event-driven orchestration
Strong understanding of custodial financial data (positions, trades, balances, performance, corporate actions)
Deep SQL expertise and strong Python for data engineering
Experience designing canonical schemas and resolving vendor data inconsistencies
Knowledge of MLOps fundamentals (versioning, monitoring, reproducibility)
Strong ownership mindset and systems-level thinking
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)
Familiarity with GitHub-based CI/CD workflows and automation
Experience with data governance, lineage, and compliance controls
Experience implementing fine-grained access control for AI-driven systems