Senior Data Modeler, New York

Lab49; United States; On-site; USD 100,000 - 130,000; Full time

Job summary

A consulting firm in financial services is seeking a Senior Data Modeler based in New York. The ideal candidate will have over 4 years of experience in data modeling and familiarity with the financial sector. Responsibilities include applying data modeling expertise, collaborating with various teams, and creating Databricks notebooks. The role promises a meaningful impact within an innovative team and a supportive work environment.

Qualifications

• 4+ years of hands-on data modeling experience.
• Experience in financial sector with market securities.
• Knowledge of traditional and Cloud DBMS platforms.

Responsibilities

• Apply Data Modeling expertise with a Data Engineering team.
• Capture business requirements in Data Models.
• Create notebooks in Databricks.

Skills

Data modeling experience

Databricks skills

Communication skills

Tools

ER Studio

Spark SQL

Oracle

Redshift

Job description

Join to apply for the Senior Data Modeler, New York role at Lab49

We are seeking an experienced Senior Data Modeler to join our newly created Service Consultant Sub‑Practice and exclusively work with a mature and impactful long‑term client in the financial services industry. This role requires a balance of independent work and teamwork, focusing on advancing the client's agenda. The ideal candidate will possess some understanding of the financial services sector, coupled with a proven track record of independent work and team collaboration. Join us to make a meaningful impact and contribute within our innovative team.

What you’ll do

• Apply ER Studio and Data Modeling expertise to a Data Engineering team dedicated to the design and development, and delivery of Data products leveraging Databricks on AWS
• Work with Business Architects, Solution Architects, and Data Stewards to capture business requirements in a Conceptual and Logical Data Model.
• Contribute to ongoing updates to data modeling standards and guidelines
• Evaluate physical data models to ensure they align with the corresponding logical data models.
• Create notebooks in Databricks in support of development activities (using Spark SQL, PySpark)
• Support enterprise data catalog setup and enrichment

Requirements

• Data management background with hands‑on work experience in supporting teams that are building and testing data pipelines
• 4+ years of hands‑on data modeling experience with ER Studio.
• Hands‑on strong Data modeling (Conceptual, Logical, Physical, 3nF, Dimensional) at both enterprise and data product level.
• Good Databricks skills and understanding of Medallion Architecture
• Working knowledge of Unity Catalog
• Experience in the financial sector with market securities reference data and fixed income such as Treasuries.
• Working knowledge of traditional DBMS platforms like Oracle and Cloud DBMS like Redshift and Databricks.
• Strong verbal, presentation, and written communication skills

Lab49 is a specialist strategy, design, and technology consulting company dedicated to the financial services industry. We were founded in 2002 to fill a need in the Financial Technology marketplace for high‑end execution and reliable delivery of technology projects.

Lab49/ION is committed to maintaining a supportive and inclusive environment for people with diverse backgrounds and experiences. We respect the varied identities, abilities, cultures, and traditions of the individuals who comprise our organization and recognize the value that different backgrounds and points of view bring to our business.

Lab49/ION adheres to an equal employment opportunity policy that prohibits discriminatory practices or harassment against applicants or employees based on any legally impermissible factor.