Data Engineering and Development VP

State Street Corporation; United States; On-site; USD 120,000 - 218,000; Full time

Job summary

State Street Corporation in North Quincy, MA seeks a Data Engineering Lead to shape data platforms at enterprise scale. You will design, develop and deploy data solutions across fund accounting, custody and reference data domains, guiding teams and aligning with business goals.

We value Python, Spark, Databricks and AI/ML workflows, with focus on responsible AI, security and governance. You’ll collaborate across business and tech teams, build reusable components, and drive scalable architecture

Qualifications

• Bachelor’s or advanced degree in Computer Science, Engineering, Mathematics, or a related field.
• Overall 12 years in IT delivery including 3 years hands-on 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 such as OpenAI, Hugging Face, Azure OpenAI, and orchestration tools like LangChain.
• Solid understanding of AI evaluation frameworks, responsible AI practices, and experience building reusable libraries and scalable pipelines.
• Effective communicator and collaborator with experience influencing cross-functional teams and stakeholders in complex, regulated environments.

Responsibilities

• Lead the design, development, and deployment of solutions across use cases such as document processing, intelligent agents, and automation frameworks.
• Collaborate with cross-functional teams to translate business needs into data-driven workflows using modern orchestration tools.
• Promote responsible practices including security, compliance, and explainability, while ensuring robust deployment.
• Establish reusable frameworks, evaluation pipelines, and scalable components to accelerate adoption and maintain consistency.
• Prioritize initiatives, manage delivery timelines, and align efforts with enterprise goals.
• Define and evolve data architecture patterns for fund accounting, custody, and reference data domains, ensuring clear lineage from source systems through consumption layers.
• Partner with business and technology stakeholders to model complex investment data concepts, including NAV, positions, transactions, cash, income, corporate actions, securities, accounts, and party/reference data.
• Establish scalable data models, integration standards, and quality controls that support accurate accounting, custody servicing, reconciliation, regulatory reporting, and client-facing data delivery.
• Drive architecture decisions that balance domain expertise, data governance, performance, security, and reuse across enterprise data platforms.

Skills

Data engineering

Python programming

AI/ML concepts

System design

Leadership

Stakeholder influence

Responsible AI practices

Experimentation culture

Communication

Cloud computing

Education

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

Tools

Apache Spark

PySpark

Databricks

OpenAI

Hugging Face

Azure OpenAI

LangChain

Fiddler

Postman

Job description

Who we are looking for

We’re looking for a dynamic and forward-thinking leader who’s passionate about shaping the future of technology at scale. If you thrive at the intersection of innovation and execution, and enjoy turning cutting-edge trends into practical enterprise solutions, this role is for you. As a hands‑on strategist, you’ll guide the development and evaluation of advanced capabilities across diverse business domains, while mentoring teams and influencing stakeholders. The ideal candidate brings a strong blend of technical depth and strategic vision, with a drive to build reusable frameworks, foster responsible practices, and cultivate a culture of experimentation and continuous learning.

Why this role is important to us

Our technology function, Global Technology Services (GTS), is vital to State Street and is the key enabler for our business to deliver data and insights to our clients. We’re driving the company’s digital transformation and expanding business capabilities using industry best practices and advanced technologies such as cloud, artificial intelligence and robotics process automation.

What you will be responsible for

As Data Engineering Lead you will:

Lead the design, development, and deployment of solutions across use cases such as document processing, intelligent agents, and automation frameworks

Collaborate with cross-functional teams to translate business needs into data-driven workflows using modern orchestration tools

Promote responsible practices including security, compliance, and explainability, while ensuring robust deployment

Establish reusable frameworks, evaluation pipelines, and scalable components to accelerate adoption and maintain consistency

Prioritize initiatives, manage delivery timelines, and align efforts with enterprise goals

• Define and evolve data architecture patterns for fund accounting, custody, and reference data domains, ensuring clear lineage from source systems through consumption layers
• Partner with business and technology stakeholders to model complex investment data concepts, including NAV, positions, transactions, cash, income, corporate actions, securities, accounts, and party/reference data
• Establish scalable data models, integration standards, and quality controls that support accurate accounting, custody servicing, reconciliation, regulatory reporting, and client-facing data delivery
• Drive architecture decisions that balance domain expertise, data governance, performance, security, and reuse across enterprise data platforms

What we value

These skills will help you succeed in this role

Solid understanding of modern data engineering concepts and emerging technologies

Experience with Python and relevant libraries such as FastAPI, PyTorch, TensorFlow, and Pandas; Java experience is a plus

Familiarity with distributed systems, orchestration tools, and API integration

Strong foundation in software engineering principles including OOPS, design patterns, data structures, and algorithms

Ability to manage and support multiple workflows or agents in parallel

Awareness of responsible technology principles and practices, including fairness, transparency, and safety

Experience building reusable components, libraries, and frameworks to accelerate development

Comfort using tools like Fiddler and Postman for API development and debugging

• Deep understanding of fund accounting, custody, and reference data domains, with the ability to connect business concepts to scalable data architecture
• Strong data modeling skills across positions, transactions, cash, income, securities, accounts, and party/reference data
• Experience designing data lineage, data quality, reconciliation, and governance controls for regulated financial services platforms
• Ability to balance domain knowledge, engineering discipline, platform reuse, and client delivery needs in architecture decisions

A proactive mindset with the ability to work independently and guide teams under general supervision

Education & Preferred Qualifications

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

Overall 12 years in IT delivery including 3 years of hands‑on experience in AI/ML and data engineering, with a strong foundation in enterprise-scale solution development

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 such as OpenAI, Hugging Face, Azure OpenAI, and orchestration tools like LangChain

Solid understanding of AI evaluation frameworks, responsible AI practices, and experience building reusable libraries and scalable pipelines

Effective communicator and collaborator with experience influencing cross-functional teams and stakeholders in complex, regulated environments

Additional requirements

Work Requirement

• John Adams Building, North Quincy, MA
• 9 to 5 PM EST

Salary Range:

$120,000 – $217,500 Annual

The range quoted above applies to the role in the location specified. If the candidate would ultimately work outside of the location above, the applicable range could differ.

Employees are eligible to participate in State Street’s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.

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About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

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Job Application Disclosure:

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.