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Data Warehouse Architect/Developer in Riner, VA at Vaco

Date Posted: 9/11/2018

Job Snapshot

Job Description

Experienced Data Warehouse professionals-our client has an immediate opportunity for a Data Warehouse Architect with Data Warehouse development skills; don't let your resume get lost in the shuffle! At Vaco, we give you an advantage over your competition! Our recruiters have direct relationships with IT hiring managers, so they can connect your work experience to the open job-promoting your strengths to the manager while preparing you for that specific interview.

Our recruiters will provide you with great insight about trends in the information technology market - keeping you up to date on compensation expectations, company culture, and growth opportunities. If your background is in IT as a Data Warehouse Architect/Developer, and you want to partner with the best, apply today!


We are seeking a Data Developer to lead the build of our data landscape. This is an innovative and challenging opportunity to migrate data to our new Data Lake in Azure and build out analytic zones with business partners to provide operational and predictive insights. The perfect fit will need to be enthusiastic, eager to learn, self-motivated, detail-oriented and work well in a team environment.


  • Design, build, and test data pipelines from selected source systems to Azure Data Lake.
  • Design, build, and test analytic zones (i.e. operational, predictive, analytic) from Azure Data Lake.
  • Work with business partners to fashion out the technical vision for applications in the enterprise Data Warehouse employing Microsoft SQL Server, SSIS, SSAS, SSRS, and Azure Machine Learning technologies.
  • Review, analyze, modify, and create ETLs, utilizing SSIS and testing, debugging, integration processes.
  • Responsible for documenting technical needs for ETL processes and databases, and ensuring optimal technical infrastructure is utilized.
  • Responsible for developing and maintaining Extract Transform and Load (ETL) scripts (within SSIS, TSQL, Azure Data Factory) between operational and warehouse databases.
  • Maintains OLAP cubes and dimensions.
  • Helps facilitate the development of reporting and dashboard solutions that interact with the data warehouse.
  • Leverages cloud-based technologies.


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