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Data Architect

2 months ago

new york city, United States Net2Source Inc. Full time

Client: Banking Financial Client

Location: New York, NY (Hybrid Onsite)

Title: Data Architect

Duration: 12 months


Responsibilities:

  • Establish enterprise standards
  • Design data models using ER Studio to support business processes
  • Document and provide best practices for managing data models in ER Studio
  • Manage the enterprise data model repository
  • Provide data model documentation and artifacts generated from data – ERD, data dictionary, data definitions, etc.
  • Compliant with Bank’s data modeling standards
  • Apply industry standards and best practices where applicable
  • Perform end-to-end data management from data analysis, conceptual/logical modeling to database deployment
  • Create structures that implement and enforce unified set of models
  • Prepare presentations for business users and management
  • Support enterprise data catalog setup and enrichment
  • 8+ years of hands-on data modeling experience with ER Studio.
  • 8+ years of hands-on strong Data modeling (Conceptual, Logical, Physical, 3nF, Dimensional) at both enterprise and data product level.
  • 8+ years of experience in establishing enterprise data standards.
  • 8+ years of experience in designing enterprise data model framework.
  • Work with business architects, Solution architects, and data stewards to capture business requirements in a Conceptual and Logical Data Model.
  • General working knowledge of traditional DBMS platforms like Oracle and Cloud DBMS like Aurora, Dynamo DB, Redshift and Databricks.
  • Analyze and translate business requirements into conceptual and fully detailed logical data models.
  • Create logical data models based on existing applications and databases.
  • Contribute to ongoing updates to data modeling standards and guidelines.
  • Strong verbal, presentation, and written communication skills
  • Evaluate physical data models to ensure they align with the corresponding logical data models.
  • Understanding of principles and standard methodologies around Data Architecture.
  • Ability to write SQL to query data (ideally ANSI SQL).