Data Platform Achitecture - Senior Lead, Avp

State Street Corporation

Hangzhou, China
On-site
End-to-end architecture
Lakehouse architecture
Databricks and snowflake
State Street Corporation is seeking a Senior Lead in Data Platform Architecture to oversee the end-to-end architecture of their xData Platform and AI solutions in Hangzhou, China. The ideal candidate will have extensive experience in data platform architecture, particularly with Databricks and Snowflake, while also demonstrating strong leadership and architectural governance skills

Job Summary

  • Own and lead the end‑to‑end architecture of the Target State xData Platform and Strategic agentic AI solution, ensuring scalable, secure, and interoperable data capabilities.
  • Define and own the end-to-end reference architecture for the xData Platform, covering ingestion, Lakehouse storage, metadata, compute engines, and consumption patterns.
  • Build agentic AI solutions/platform to automate data operations related to investment performance, investment research, sales, client coverage, product, and related daily operations.

Matching Summary

Match Score: 85

State Street Corporation is seeking a Senior Lead in Data Platform Architecture to oversee the end-to-end architecture of their xData Platform and AI solutions in Hangzhou, China. The ideal candidate will have extensive experience in data platform architecture, particularly with Databricks and Snowflake, while also demonstrating strong leadership and architectural governance skills.

Skills & Requirements

Must-have

  • end-to-end architecture
  • Lakehouse architecture
  • Databricks and Snowflake
  • agentic AI solutions
  • enterprise scale data platform architecture

Nice-to-have

  • AI-augmented architect
  • financial enterprise data platform

Key Requirements

  • Proven experience owning or leading enterprise scale data platform or agentic AI architecture
  • Demonstrated ability to operate as an AI-augmented architect
  • Strong architectural experience with Databricks or Snowflake
  • Experience architecting data platforms and agentic AI solutions in AWS, GCP and/or Azure environments
  • Ability to guide and influence multiple engineering teams

Work Rights

Not specified

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