Data Platform Engineering Lead, VP
Core
Architecting and delivering a modern data platform and agentic AI capabilities to enable investment management business operations.
Role type
VP-level Principal Data Platform and Agentic Engineering Lead
Builds
Scalable data platform infrastructure, multi-agent workflows, and agentic AI services for financial services
Domain
Financial Services / Data Engineering / Agentic AI
Deliverable
production ML models | infrastructure
Required skills
Data platform architecture, multi-agent workflow design, agentic protocol integration, containerized services, enterprise LLMOps, cloud-agnostic infrastructure design, master data management, OLTP/OLAP integration, unstructured data processing, Python, SQL
Preferred skills
Data platform architecture in financial institutions, structured/unstructured data management tooling, CFA Level II certification
Technologies
Snowflake, Databricks, AWS, GCP, Azure, Python, SQL, Anthropic Code, GitHub Copilot, Codex
Responsibilities
Lead agile data and agentic engineering teams to deliver scalable solutions; define and own agentic architecture and implementation; design and lead core data platform capabilities including ingestion, workload balancing, and catalog synchronization; partner with global teams on cross-border initiatives; coach and mentor engineers.
Seniority
VP, hands-on IC with strategic leadership