Published date Posted on Indeed on Jan 15, 2022 (10 d ago)

Piper Companies is looking for a Senior Data Modeler for a leading financial services organization in the Philadelphia, PA area.


This is a Remote Opportunity!


Responsibilities for the Senior Data Modeler include:

  • You will design, implement, and document data architecture and data modeling solutions which include the use of relational, dimensional, and NoSQL databases
  • Responsible for the development of the conceptual, logical, and physical data models, implementation of RDBMS, operational data store, data marts, and data lakes on target platforms


Qualifications for the Senior Data Modeler include:

  • 5+ years of related experience
  • 3+ years’ hands-on relational, dimensional and/or analytics experience using RDBMS, dimensional, NoSQL data platform technologies and ETL and data ingestion protocols
  • Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required
  • Knowledge of metadata management, data modeling and related tools. (Erwin or ER Studio and others)
  • Experience with databases (SQL etc.) and programming (XML, Javascript or ETL frameworks)
  • Experience with data cataloging
  • Experience creating data marts and star schemas using the Kimball Method
  • Knowledge of statistics and experience using statistical packages for analyzing datasets Excel, SPSS, SAS etc.)
  • Experience Implementing data strategies, build data flows, and develop conceptual/logical/physical data models
  • Hands-on experience in modeling, design, configuration, installation, performance tuning and sandbox POC


Compensation for the Senior Data Modeler:

  • $130K target compensation
  • Direct-hire, Remote Opportunity
  • Comprehensive Medical benefits: Medical, Dental, Vision, 401K, PTO


Keywords: data engineer, data modeler, data modeling, direct hire, remote, remote opportunity, data architecture, relational, dimensional, NoSQL, databases, database, SQL, conceptual, logical, data lakes, data lake, data marts, data store, RDBMS, enterprise data platforms, big data, ETL, data warehouse, metadata, Erwin, ER Studio, data cataloging, mortgage, financial, fintech, data strategy, performance tuning, usability, star schema, data mart schema, Kimball, Kimball Method


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