About State Street

State Street Corporation is one of the world''s largest custodian banks and asset managers, providing investment servicing, investment management, and investment research to institutional investors. Industry: Financial Services & Asset Custody

State Street currently has 212 open roles on FindRole.

Listed pay typically runs $120,000–$202,500 across 204 roles with salary data.

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At a glance

TL;DR · Data Engineering and Development VP

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The Data Engineering and Development VP joins the Global Technology Services team to lead the design, development, and deployment of solutions for document processing, intelligent agents, and automation frameworks. This role involves building reusable components, evaluation pipelines, and scalable data-driven workflows while ensuring security, compliance, and explainability. The candidate will work with advanced technologies including Oracle Database, PL/SQL, Snowflake, and Azure cloud services like Azure Data Factory and Azure Storage. Technical requirements include proficiency in Python, Apache Spark, PySpark, Databricks, and orchestration tools such as LangChain. Experience with Git, CI/CD pipelines, and Unix/Linux environments is essential. The role addresses the challenge of delivering data insights through digital transformation by integrating artificial intelligence, robotics process automation, and large-scale data processing to solve complex problems in a regulated environment.

Skills

Oracle PL/SQL Snowflake Azure Python Apache Spark PySpark Databricks LangChain OpenAI Hugging Face Git Bitbucket CI/CD SQL Unix Linux ETL

What you'll do

Design, develop, and deploy solutions for document processing, intelligent agents, and automation frameworks.
Translate business requirements into data-driven workflows using modern orchestration tools.
Build reusable frameworks, evaluation pipelines, and scalable components to ensure consistency across the enterprise.
Ensure all technical deployments adhere to security, compliance, and explainability standards.
Manage project delivery timelines and prioritize initiatives to align with corporate goals.
Develop large-scale data processing and AI models using Python, Spark, and Databricks.
Deploy and evaluate machine learning and generative AI models using platforms like OpenAI and LangChain.
Architect and manage hybrid cloud data solutions across Oracle, Snowflake, and Azure environments.

What we're looking for

Bachelor’s or advanced degree in Computer Science, Engineering, Mathematics, or a related field.
12+ years of experience in IT delivery including 3+ years of hands-on experience in AI/ML and data engineering.
Advanced proficiency in Oracle Database, PL/SQL development, and SQL query tuning.
Hands-on experience with Snowflake for data warehousing and pipeline integration.
Proficiency in Azure cloud services and designing hybrid cloud architectures.
Strong scripting skills in Shell or Python and experience with Git/Bitbucket and CI/CD pipelines.
Expertise in Python, Apache Spark, PySpark, and Databricks for large-scale data processing.
Proven ability to deploy machine learning and generative AI models using platforms like OpenAI, Hugging Face, and LangChain.