Data Engineering and Development VP

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

What we value

These skills will help you succeed in this role

Solid understanding of modern data engineering concepts and emerging technologies

Strong experience with Oracle Database, including schema design, data modeling, and performance optimization

Advanced proficiency in PL/SQL development, including stored procedures, packages, triggers, and functions

Expertise in SQL query tuning and performance optimization, including execution plan analysis and indexing strategies

Hands-on experience with Oracle performance diagnostics tools (e.g., AWR, ASH, explain plans)

Solid understanding of database architecture, data integrity, and transaction management

Experience with data migration, integration, and ETL processes involving Oracle systems

Hands-on experience with Snowflake, including data warehousing, query performance tuning, and data pipeline integration

Proficiency in Azure cloud services, such as Azure SQL, Azure Data Factory, Azure Storage, or Azure Virtual Machines

Experience designing and supporting cloud-based data solutions and hybrid (on-prem + cloud) architectures

Familiarity with data security, access control, and governance in cloud environments

Strong scripting skills (e.g., Shell, Python) for automation and data processing

Experience with version control systems (Git/Bitbucket) and CI/CD pipelines

Understanding of batch processing, job scheduling, and file-based integrations

Familiarity with Unix/Linux environments for database and application support

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

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

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.

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