Who we are looking for State Street cyber architecture & engineering is looking for for a Senior Data Engineer to design and implement data models across relational, graph, and lakehouse systems using AWS RDS, AWS Neptune/Neo4 J, and Databricks/Snowflake.
This role will also contribute to AI enablement by building Graph RAG (Graph Retrieval-Augmented Generation) pipelines that power intelligent search and LLM-based applications.
You'll work closely with senior engineers and AI teams to deliver scalable, secure, and high-performance data solutions.
This role can be performed in a hybrid model, where you can balance work from home and office to match your needs and role requirements.
What you will be responsible for Data Modeling Design relational schemas in AWS RDS and graph models in AWS Neptune/Neo4 J.
Develop warehouse/lakehouse schemas in Databricks Delta Lake or Snowflake for analytics and ML.
Graph RAG Enablement Implement graph-based retrieval and integrate with vector search for AI use cases.
Generate embeddings and manage hybrid retrieval pipelines (graph + vector).
Data Pipelines Build ETL/ELT pipelines using Snowflake/Databricks, Airflow and other AWS Service such as Glue.
Ensure data quality, consistency, and freshness across systems.
Performance & Optimization Tune queries and optimize storage for Graph DB, RDS, Data warehousing.
Support Data Environments to ensure the SLA's (uptime and performance) are met Collaboration Work with data scientists/AI engineers/Development eams to support knowledge graph and RAG workflows.
Document data models and maintain governance standards.
What we value These skills will help you succeed in this role Strong communication skills to promote critical wins and new behaviors throughout theorganizationproven ability to manage multiple projects simultaneously Self-starter with a keen sense of ownership and commitment to work, and passion fordelivering results.
Education & Preferred Qualifications Master's or Bachelor's Degree in Computer Science or engineering.7–10 years of experience in data analysis, data model design, and implementation to deliver scalable, enterprise-grade data solutions in a fast-paced environment.
Manage/mentor team members, and provide training as required.
Excellent analytical and interpersonal skills.
Excellent verbal, written communication and presentation skills.
Very strong practical experience in implementing large mature incident and change management processes Team player, Ethical, Self-driven and self-motivated, goal and results oriented.
Experience in building, managing diverse geographically located teams and championing customer satisfaction.
Experience in support or implementation of IAM products.
Experience in implementing SDLC engagements projects, that must include activities such as requirements gathering, analysis, design, development, testing, deployment and application support.
Required Skills.7–10 years of experience in data engineering or similar roles.
Strong SQL and schema design for AWS RDS (Postgre SQL/My SQL) to support enterprise applications.
Strong experience in building Enterprise Warehousing solutions Hands-on experience with a Graph DB modeling and expsousre to AWS Neptune or Neo4 JProficiency in Databricks or Snowlake, Py Spark, Familiarity with Graph RAG concepts, embeddings, and vector search.
Strong Programming experience in Python for data pipelines and API integration.
Additional Preferred Experience Experience with Lang Chain or Llama Index for RAG workflows.
Knowledge of graph algorithms, entity linking, and semantic search.
Strong Exposure to Cloud Environment (AWS)Snowflake or Databricks certifications are a plus.
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.
