Jobs via eFinancialCareers
IAM IGA Data Engineer, Assistant Vice President
Jobs via eFinancialCareers, Stamford, Connecticut, United States, 06925
IAM IGA Data Engineer, Assistant Vice President
State Street cyber architecture & engineering seeks a qualified Data Engineer to design and implement data models across relational, graph, and lakehouse systems using
AWS RDS, AWS Neptune, and Databricks . This role will also contribute to AI enablement by building
GraphRAG (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 that balances 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/Neo4J.
Develop warehouse/lakehouse schemas in Databricks Delta Lake for analytics and ML.
GraphRAG 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 workflows using Databricks (PySpark), Airflow, or AWS Glue.
Ensure data quality, consistency, and freshness across systems.
Performance & Optimization
Tune queries and optimize storage for Neptune, RDS, and Delta Lake.
Collaboration
Work with data scientists and AI engineers to support knowledge graph and RAG workflows.
Document data models and maintain governance standards.
What We Value
Strong communication skills to promote critical wins and new behaviors throughout the organization.
Proven ability to manage multiple projects simultaneously.
Self‑starter with a keen sense of ownership and commitment to work, and passion for delivering 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, including requirements gathering, analysis, design, development, testing, deployment, and application support.
Required Skills
3‑5 years of experience in data engineering or similar roles.
Strong SQL and schema design for AWS RDS (PostgreSQL/MySQL).
Hands‑on experience with AWS Neptune (Gremlin/SPARQL) and graph modeling.
Proficiency in Databricks, PySpark, and Delta Lake.
Familiarity with GraphRAG concepts, embeddings, and vector search.
Programming in Python for data pipelines and API integration.
Additional Preferred Experience
Experience with LangChain or LlamaIndex for RAG workflows.
Knowledge of graph algorithms, entity linking, and semantic search.
Exposure to OpenSearch, FAISS, or Databricks Vector Search.
AWS/Databricks certifications are a plus.
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.
Salary Range $100,000 - $160,000 Annual (primary location only; may differ if hired outside of the primary location).
Benefits Employees are eligible to participate in State Street's comprehensive benefits program, which includes a 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.
Equal Opportunity Employer Statement 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.
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.
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AWS RDS, AWS Neptune, and Databricks . This role will also contribute to AI enablement by building
GraphRAG (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 that balances 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/Neo4J.
Develop warehouse/lakehouse schemas in Databricks Delta Lake for analytics and ML.
GraphRAG 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 workflows using Databricks (PySpark), Airflow, or AWS Glue.
Ensure data quality, consistency, and freshness across systems.
Performance & Optimization
Tune queries and optimize storage for Neptune, RDS, and Delta Lake.
Collaboration
Work with data scientists and AI engineers to support knowledge graph and RAG workflows.
Document data models and maintain governance standards.
What We Value
Strong communication skills to promote critical wins and new behaviors throughout the organization.
Proven ability to manage multiple projects simultaneously.
Self‑starter with a keen sense of ownership and commitment to work, and passion for delivering 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, including requirements gathering, analysis, design, development, testing, deployment, and application support.
Required Skills
3‑5 years of experience in data engineering or similar roles.
Strong SQL and schema design for AWS RDS (PostgreSQL/MySQL).
Hands‑on experience with AWS Neptune (Gremlin/SPARQL) and graph modeling.
Proficiency in Databricks, PySpark, and Delta Lake.
Familiarity with GraphRAG concepts, embeddings, and vector search.
Programming in Python for data pipelines and API integration.
Additional Preferred Experience
Experience with LangChain or LlamaIndex for RAG workflows.
Knowledge of graph algorithms, entity linking, and semantic search.
Exposure to OpenSearch, FAISS, or Databricks Vector Search.
AWS/Databricks certifications are a plus.
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.
Salary Range $100,000 - $160,000 Annual (primary location only; may differ if hired outside of the primary location).
Benefits Employees are eligible to participate in State Street's comprehensive benefits program, which includes a 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.
Equal Opportunity Employer Statement 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.
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.
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