VP, Data Engineering & Architecture Leadership

State Street Corporation

Quincy (MA)

On-site

USD 120,000 - 218,000

Full time

6 days ago
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Benefits offered by this job

401K with company match
Health, dental, vision insurance
Paid time off

Job summary

State Street Corporation seeks a Data Engineering Lead to design, build, and deploy scalable data solutions for fund accounting, custody, and reference data domains. You will model complex investment data concepts and lead cross-functional teams in a regulated environment.

Strong hands-on Python, Spark, PySpark, and Databricks experience are required, along with ML model deployment using OpenAI, Hugging Face, and Azure OpenAI.

Qualifications

  • Bachelor’s or advanced degree in Computer Science, Engineering, Mathematics or related field.
  • Overall 12 years in IT delivery including 3 years AI/ML and data engineering.
  • Strong hands-on Python, Spark, PySpark, and Databricks for large-scale data processing.
  • Proven ability to design, deploy, and evaluate ML and generative AI models.
  • Experience with OpenAI, Hugging Face, Azure OpenAI and orchestration tools.

Responsibilities

  • Lead design, development, and deployment of data solutions across use cases like document processing and automation.
  • Collaborate with teams to translate business needs into data-driven workflows.
  • Promote responsible practices including security, compliance, and explainability.
  • Establish reusable frameworks, evaluation pipelines, and scalable components.
  • Prioritize initiatives and align with enterprise goals.

Skills

Python
Apache Spark
PySpark
Databricks
AI/ML
OpenAI
Hugging Face
Azure OpenAI
LangChain
Data modeling
Distributed systems

Education

Bachelor’s or advanced degree in Computer Science, Engineering, Mathematics

Tools

OpenAI
LangChain
Postman

Job description

State Street Corporation seeks a Data Engineering Lead to design, build, and deploy scalable data solutions for fund accounting, custody, and reference data domains. You will model complex investment data concepts and lead cross-functional teams in a regulated environment.

Strong hands-on Python, Spark, PySpark, and Databricks experience are required, along with ML model deployment using OpenAI, Hugging Face, and Azure OpenAI.

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