Data Modeler

Emcube Technologies Inc; New York (NY); Hybrid; USD 90,000 - 120,000; Full time

Job summary

Emcube Technologies Inc is seeking a Data Modeler for a contract role in New York, NY with hybrid work arrangements. The ideal candidate will design and maintain conceptual, logical, and physical data models to support financial reporting, accounting, risk, treasury, and regulatory initiatives.

You will develop scalable data structures and demonstrate strong SQL/database design within financial services environments, collaborating across teams to meet regulatory data requirements.

Qualifications

• Minimum 8 years experience in data modeling within financial services.
• Proficient with industry-standard modeling tools: Erwin, ER/Studio, PowerDesigner.
• Strong SQL/database design skills for large-scale enterprise data environments.

Responsibilities

• Create and maintain conceptual, logical, and physical data models using industry tools (Erwin, ER/Studio, PowerDesigner).
• Design and optimize database structures across Oracle, SQL Server, Snowflake, Azure SQL, or PostgreSQL.
• Support finance and regulatory initiatives involving data warehousing, Data Vault, and dimensional modeling.

Skills

Data modeling

SQL/database design

Financial services domain

Tools

Erwin

ER/Studio

PowerDesigner

SQL

Job description

Title: Data Modeler
Type: Contract
Location: New York, NY Hybrid
Experience: 8 years

Design and maintain conceptual, logical, and physical data models supporting financial reporting, accounting, risk, treasury, and regulatory initiatives.
Develop scalable data structures using modern modeling techniques, strong SQL/database design, and enterprise data modeling tools within financial services environments.

Key Responsibilities:

1. Create and maintain conceptual, logical, and physical data models using Erwin, ER/Studio, PowerDesigner, or similar tools.
2. Design and optimize database structures using SQL across Oracle, SQL Server, Snowflake, Azure SQL, or PostgreSQL.
3. Support finance and regulatory data initiatives involving data warehousing, Data Vault, dimensional modeling, and financial reporting requirements.

Email: [e-mail]