Senior Data Engineering & Platform Leader

State Street Corp; Quincy (MA); Sur place; USD 120 000 - 218 000; Plein temps

Avantages offerts par ce poste

401K with company match

Comprehensive benefits (medical, life,

Paid time off

Employee Assistance Program

Performance-based incentives

Tax-advantaged savings plans

Résumé du poste

State Street Corp is seeking a Data Engineering Lead to shape the future of data platforms at scale. You will guide design and evaluation of advanced capabilities across fund accounting, custody, and reference data domains while mentoring teams and aligning stakeholders.

Ideal candidates blend technical depth with strategic vision, building reusable frameworks and advocating responsible AI practices for enterprise data solutions.

Qualifications

• 12+ years IT delivery including 3+ years in AI/ML and data engineering.
• Bachelor’s or advanced degree in Computer Science, Engineering, Mathematics, or related field.
• Strong hands-on expertise in Python, Apache Spark, PySpark and Databricks for large-scale data processing.
• Experience designing, deploying and evaluating ML/AI models using OpenAI, Hugging Face, Azure OpenAI and LangChain.
• Solid understanding of AI evaluation frameworks, responsible AI practices, and scalable libraries.
• Effective communicator with cross-functional stakeholders in regulated environments.

Responsabilités

• Lead design, development, and deployment of data solutions across use cases like document processing, intelligent agents, and automation frameworks.
• Collaborate with cross-functional teams to translate business needs into data-driven workflows using 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 with clear lineage.
• Model complex investment data concepts (NAV, positions, transactions, cash, income, corporate actions, securities, accounts, party data).
• Establish scalable data models, integration standards, and quality controls for accounting, reconciliation, and regulatory reporting.
• Drive architecture decisions balancing domain knowledge, governance, performance, security, and reuse.

Connaissances

Python

FastAPI

PyTorch

TensorFlow

Pandas

Java

distributed systems

orchestration tools

APIs integration

OOPS

design patterns

data structures

algorithms

data modelling

data lineage

governance

LangChain

OpenAI

Hugging Face

Azure OpenAI

Formation

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

Outils

Apache Spark

PySpark

Databricks

OpenAI

Hugging Face

LangChain

Description du poste

State Street Corp is seeking a Data Engineering Lead to shape the future of data platforms at scale. You will guide design and evaluation of advanced capabilities across fund accounting, custody, and reference data domains while mentoring teams and aligning stakeholders.

Ideal candidates blend technical depth with strategic vision, building reusable frameworks and advocating responsible AI practices for enterprise data solutions.