Data Modeler

  • Nyc, NY
  • Posted 60+ days ago | Updated 22 hours ago

Overview

On Site
Accepts corp to corp applications
Contract - 12 month(s)

Skills

LinkedIn
System Integration Testing
Front Office
RDBMS
Investment Banking
Capital Market
Data Management
Business Intelligence
Scalability
Regulatory Compliance
Data Structure
Computer Science
Information Systems
Data Modeling
Microsoft SQL Server
Oracle
PostgreSQL
Cloud Computing
Amazon Redshift
Amazon S3
Remote Desktop Services
Amazon RDS
Finance
Data Warehouse
Snow Flake Schema
Normalization
Modeling
ER/Studio
ERwin
Extract
Transform
Load
Data Integration
SQL
Relational Databases
Data Governance
Communication
Collaboration
NoSQL
Database
Big Data
Amazon DynamoDB
Electronic Health Record (EHR)
Data Analysis
Python
Scripting
Data Processing
Meta-data Management
Amazon Web Services

Job Details

USC
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Heavy Financial experience

3-4 days a week on site

Polished candidates that can sit with the Investment banking team in midtown fulltime.

This is a front office role

Data Modeler with Relational Database and AWS Cloud experience.

they want a Senior Candidate

must have a Bachelors from a US University no exceptions

Location: NYC

Job Summary:

Leading full-service investment banking and capital markets firm is seeking an experienced Data Modeler with expertise in relational databases and AWS Cloud technologies to join our data management team. The ideal candidate will be responsible for designing and maintaining scalable data models to support business intelligence, data integration, and cloud-based data warehousing solutions. This role will involve collaboration with data architects, engineers, and business stakeholders to ensure data structures meet business and technical requirements.

Key Responsibilities:

  • Design and develop conceptual, logical, and physical data models for relational databases and cloud data warehouses on AWS.
  • Collaborate with business and technical teams to gather data requirements and translate them into effective data models.
  • Optimize database structures to ensure performance, scalability, and reliability of data systems.
  • Work with AWS services such as Redshift, S3, Glue, and RDS to design and implement cloud-based data solutions.
  • Maintain and document data dictionaries, data lineage, and metadata for all data models.
  • Ensure data model designs align with data governance, security, and compliance standards.
  • Support ETL processes and data pipelines by providing guidance on data structures and relationships.
  • Troubleshoot and resolve data model-related issues, ensuring data consistency and integrity.

Qualifications:

  • Bachelors degree in Computer Science, Information Systems, or a related field (or equivalent experience).
  • 10+ years of experience in data modeling for relational databases such as SQL Server, Oracle, or PostgreSQL.
  • Experience with AWS Cloud services like Redshift, S3, Glue, and RDS.
  • Financial experience - heavy
  • Strong knowledge of data warehousing concepts, Star/Snowflake schema, and data normalization/denormalization.
  • Proficiency in ER modeling tools (e.g., ER/Studio, Erwin, or similar).
  • Hands-on experience with ETL processes and data integration.
  • Strong SQL skills for querying and analyzing relational databases.
  • Familiarity with data governance and security best practices.
  • Excellent communication and collaboration skills.

Preferred Qualifications:

  • Experience with NoSQL databases and big data technologies (e.g., DynamoDB, Athena, EMR).
  • AWS Certification (e.g., AWS Certified Data Analytics Specialty, AWS Certified Solutions Architect).
  • Familiarity with Python or other scripting languages for data processing.
  • Experience in metadata management and data cataloging tools like AWS Glue Data Catalog.
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