Data Engineering and Development VP

State Street

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Quincy, MA
Salary
$120,000–$217,500 / yr
Employment
Full-time
Posted
1 day ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $170k
This role $169k
$108k $229k
below market most similar roles pay here above market

This role pays more than 50% of similar roles. Most pay $126,800–$213,000 — the blue band above. At the midpoint, this role pays about $169k versus about $170k for comparable roles.

Based on 240 similar postings.

Employer

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 352 open roles on FindRole.

Listed pay typically runs $110,000–$188,750 across 168 roles with salary data.

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At a glance

TL;DR · Data Engineering and Development VP

The Data Engineering and Development VP joins the Global Technology Services team to lead the design, development, and deployment of advanced data solutions. This role involves building reusable frameworks, evaluation pipelines, and scalable components for document processing, intelligent agents, and automation workflows. You will define data architecture patterns for fund accounting, custody, and reference data domains while modeling complex investment concepts like NAV, positions, and transactions. Key technologies include Python, Apache Spark, PySpark, Databricks, FastAPI, PyTorch, TensorFlow, and Pandas, alongside orchestration tools like LangChain and platforms such as OpenAI and Hugging Face. You will ensure robust data lineage, quality controls, and responsible AI practices, including security and explainability, to support accurate accounting, reconciliation, and regulatory reporting within a regulated financial services environment.

What you'll do

  • Lead the design, development, and deployment of solutions for document processing, intelligent agents, and automation frameworks.
  • Translate business needs into data-driven workflows using modern orchestration tools and distributed systems.
  • Define and evolve data architecture patterns for fund accounting, custody, and reference data domains.
  • Establish scalable data models, integration standards, and quality controls for regulatory reporting and client delivery.
  • Build reusable frameworks, evaluation pipelines, and scalable components to accelerate enterprise adoption.
  • Drive architecture decisions that balance domain expertise, data governance, performance, and security.
  • Promote responsible technology practices including security, compliance, and explainability across all deployments.
  • Model complex investment data concepts such as NAV, positions, transactions, and corporate actions.

What we're looking for

  • Bachelor’s or advanced degree in Computer Science, Engineering, Mathematics, or a related field.
  • 12+ years in IT delivery including 3+ years of hands-on experience in AI/ML and data engineering.
  • Strong hands-on expertise in Python, Apache Spark, PySpark, and Databricks for large-scale data processing and AI model development.
  • Proven ability to design, deploy, and evaluate machine learning and generative AI models using platforms like OpenAI, Hugging Face, and LangChain.
  • Deep understanding of fund accounting, custody, and reference data domains with strong data modeling skills for financial services.
  • Experience designing data lineage, data quality, reconciliation, and governance controls for regulated financial platforms.
  • Solid foundation in software engineering principles including OOPS, design patterns, data structures, and algorithms.
  • Experience with Java (preferred).

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