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Data Warehouse Architect SQL

Request Technology - Craig Johnson

Posted on Apr 7, 2022 by Request Technology - Craig Johnson

Not Specified, PR
Immediate Start
Annual Salary

*We are unable to sponsor for this 9+ month contract Remote role*

Prestigious Enterprise Company is currently seeking a Data Warehouse Architect with strong SQL experience. Candidate assists with defining requirements, design and documentation of Data Warehouse architecture components.


  • Works with the logical business model and develops the logic necessary to create and populate the tables necessary for the Enterprise Data Warehouse.
  • Develop ETL scripts and write SQL code from data model, dataflow diagram and technical design specifications
  • Architects the transformation of transactional (normalized) data to facts and dimensions.
  • Establishes appropriate parent and child relationships within the data model.
  • Applies and adapts data architecture principles, standards, concepts, practices and techniques as appropriate to specific use cases.
  • Work with DBAs to migrate schema changes between development, QA and production environments.
  • Assist Project Managers and BI delivery team leaders in estimating effort and resources for new projects and enhancement requests.


  • Minimum of 5 years related data management and/or data modelling experience
  • Experience working with SSIS and SQL Server database platform
  • Requires experience with EDW (Enterprise Data Warehouse) implementation
  • Experience data modelling using Kimball, Inmon, Vault and other common methodologies
  • Experience working with Talend Data Fabric/Open Studio a plus
  • Experience with data visualization platforms like Tableau and Qlik a plus
  • Knowledge of data gathering, cleaning and transforming techniques
  • Understanding ETL techniques
  • Knowledge of Transact SQL and data query/reporting tool
  • Proficiency in Microsoft Excel
  • Ability to set and meet deadlines
  • Ability to work in high-pressure situations
  • Technical writing skills
  • Excellent attention to detail
  • Strong written/verbal communication skills
  • Ability to QA and troubleshoot data

Reference: 1557411859

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