The role involves owning and leading the end-to-end architecture of the Target State xData Platform and Strategic agentic AI solution to ensure scalable and secure data capabilities
Job Summary
The role involves owning and leading the end-to-end architecture of the Target State xData Platform and Strategic agentic AI solution to ensure scalable and secure data capabilities.
Candidates must drive multi-engine interoperability across Databricks, Snowflake, and other computing engines while building Agentic AI solutions to automate daily operations.
State Street offers inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks to foster a valued and empowered workforce.
Matching Summary
The role involves owning and leading the end-to-end architecture of the Target State xData Platform and Strategic agentic AI solution to ensure scalable and secure data capabilities.
Skills & Requirements
Must-have
End-to-end data platform architecture ownership
Apache Iceberg Lakehouse design expertise
Databricks and Snowflake interoperability
Agentic AI solution development
AWS, GCP, or Azure cloud environments
Data governance and security architecture
Nice-to-have
AI-augmented architect with GenAI tools
Experience in regulated financial environments
Strong influence over multiple engineering teams
Background in investment performance data
Proven track record in large-scale platforms
Key Requirements
Proven experience leading enterprise scale data platform architecture
Demonstrated ability to operate as an AI-augmented architect
Strong architectural experience with Databricks or Snowflake
Solid understanding of distributed data processing and scalability
Experience architecting data platforms in AWS, GCP, or Azure