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Intermediate Data ModelerMaplesoft Group, an SEB CompanyNew York, New York, United States

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Intermediate Data Modeler

Maplesoft Group, an SEB Company
  • US
    New York, New York, United States
  • US
    New York, New York, United States

Über

Federal Government Clearance Level Required: None
Vacancy Type:
________________________________________
About Us Maplesoft Group is currently seeking a Remote Intermediate Data modeler for our client.
Position Summary The Intermediate Data modeler will provide operational data modelling support to Hub data assets and data processing pipelines, focusing on logical and physical data models maintenance. Create DDL’s and scripts to deploy schemas and tables across different accounts. Collaborate with the product delivery team to update existing data models.
Key Responsibilities 1. Data Modeling & Design
Develop, maintain, and enhance logical and physical data models for Hub data assets
Apply data architecture standards, patterns, and best practices
Use formal modeling techniques such as UML and ER diagrams
Ensure models align with business requirements and data governance principles
Provide ongoing operational support for data assets and data processing pipelines
Ensure data structures support efficient ingestion, transformation, and analytics workflows
3. Schema Development & Deployment
Create and maintain DDL scripts for schemas and tables
Deploy database objects across multiple environments/accounts
Support versioning and automation through CI/CD pipelines
4. Collaboration & Stakeholder Engagement
Work closely with product delivery teams to update and refine data models
Translate business needs into scalable data structures
Participate in discussions to improve data architecture and integration
5. Tooling & Documentation
Use data modeling tools (e.g., Enterprise Architect, Erwin, PowerDesigner)
Maintain clear documentation of data models, definitions, and relationships
Ensure consistency across models and environments
6. Data Management & Governance
Support reference and master data management practices
Ensure data quality, consistency, and integrity across systems
Work with AWS data services (e.g., S3, Glue, Athena, Redshift, Aurora)
Optimize data storage and retrieval for performance and scalability
Required Qualifications
Data architecture experience including standards, concepts, patterns, best practices, and methodologies
Logical & Physical Data Modelling experience
Formal Modelling Notations (e.g., UML, ER)
Experience working with Data Modelling tools such as SPARX Enterprise Architect or equivalent (e.g., Erwin, PowerDesigner)
General understanding of Reference and Master Data
Knowledge of CI/CD
General knowledge of AWS data storage and analytics services (S3, Glue, Athena, Redshift, Aurora)
General knowledge of databases (Oracle, Hive, NoSQL, PostgreSQL)
Compensation Salary Range: $46.00 – $73.00 per hour
Submission Deadline Thursday, May 7 2026, 7:00pm EST
How to Apply Please submit your resume (and cover letter) to:
https://www.maplesoftgroup.com/Careers/Career-Opportunities
Maplesoft is an equal opportunity employer and welcomes applications from all qualified candidates. Accommodations are available upon request throughout the recruitment process.
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  • New York, New York, United States

Sprachkenntnisse

  • English
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