Data Platform Achitecture - Senior Lead, Avp

State Street Corporation

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End-to-end architecture of xdata platform
Strategic agentic ai solution
Scalable, secure, interoperable data capabilities
** State Street Corporation is seeking a Senior Lead for Data Platform Architecture to oversee the architecture of their xData Platform and agentic AI solutions. The role requires extensive experience in data platform architecture, particularly with technologies like Databricks and Snowflake, to ensure the scalability and interoperability of 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 across ingestion, storage, processing, and consumption layers.
  • Build agentic AI solutions/platform to automate data operations related to investment performance, investment research, sales, client coverage, product, and related daily operations.
  • Partner with Platform Engineering to align infrastructure, security, observability, and CI/CD capabilities with architectural intent.

Matching Summary

Match Score: 75

** State Street Corporation is seeking a Senior Lead for Data Platform Architecture to oversee the architecture of their xData Platform and agentic AI solutions. The role requires extensive experience in data platform architecture, particularly with technologies like Databricks and Snowflake, to ensure the scalability and interoperability of data capabilities. **

Skills & Requirements

Must-have

  • End-to-end architecture of xData Platform
  • Strategic agentic AI solution
  • Scalable, secure, interoperable data capabilities
  • Apache Iceberg, Databricks, Snowflake
  • Multi-engine interoperability
  • Automate data operations with AI

Nice-to-have

  • AI-augmented architect leveraging GenAI
  • Enterprise scale data platform experience
  • Regulated enterprise environments

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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