Data Platform Architecture Lead, Avp

State Street Corporation

Hangzhou, China
On-site
End-to-end architecture
Xdata platform
Agentic ai solution
State Street Corporation is seeking a Data Platform Architecture Lead (AVP) in Hangzhou, China, to oversee the architecture of their xData Platform and AI solutions. The role requires strong expertise in data platforms, particularly with Databricks and Snowflake, and focuses on ensuring scalable, secure, and interoperable data capabilities

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.
  • Establish architectural standards and guardrails for Iceberg based Lakehouse design, including table layout, partitioning, schema evolution, and lifecycle management.
  • Build agentic AI solutions to automate data operations related to investment performance, investment research, and related daily operations.

Matching Summary

Match Score: 85

State Street Corporation is seeking a Data Platform Architecture Lead (AVP) in Hangzhou, China, to oversee the architecture of their xData Platform and AI solutions. The role requires strong expertise in data platforms, particularly with Databricks and Snowflake, and focuses on ensuring scalable, secure, and interoperable data capabilities.

Skills & Requirements

Must-have

  • end-to-end architecture
  • xData Platform
  • agentic AI solution
  • Apache Iceberg
  • Databricks
  • Snowflake
  • AWS, GCP, and/or Azure

Nice-to-have

  • AI-augmented architect
  • enterprise scale data platform
  • regulated enterprise environments
  • financial data platform background

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
  • Strong understanding of distributed data processing, scalability, and performance considerations
  • Experience architecting data platforms and agentic AI solutions in AWS,GCP and/or Azure environments
  • Solid understanding of data governance, metadata management, and security architecture
  • Ability to guide and influence multiple engineering teams through architectural leadership

Work Rights

Not specified

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