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Business Intelligence Developer

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: Addison Group
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Warehousing
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Our client is looking for a backend Senior BI Developer to join our team. our client is modernizing its data platform and data visualization strategies from a traditional solution (SQL Server, SSIS, and Tableau) to a more modern cloud data platform using Azure SQL Managed Instance and Microsoft Fabric.

The ideal candidate will play a key role in orchestrating the transition to a modern data platform, have a deep technical understanding of cloud data warehouse and possess strong business acumen to translate customer use cases into compelling and efficient visualization designs. This role will drive innovation, enhance user experience, and enable data democratization across our organization.

  • Collaborate with subject matter experts, often in ambiguous situations, to determine business information and reporting requirements.
  • Foster improved alignment of technology initiatives with business strategies by building and maintaining relationships with technology teams and business partners.
  • Provide technical and architectural guidance to projects and teams to ensure effective reporting and analyses.
  • Define, design, develop, document, and maintain data models and data warehouse architecture
  • Work with various data sources such as SQL Server, Data Verse, Excel, Azure SQL, SharePoint Lists/Libraries, API based data, and unstructured data.
  • Maintain adherence to security and architectural standards as well as usability design principles.
  • Oversee and conduct analysis, design, implementation, and support of the company data warehouse which may include developing ETL routines using appropriate tools
  • Ensure maintenance of data integrity and ongoing quality of delivered solutions.
  • Identify data quality issues and work with appropriate teams to resolve them.
  • Stay informed about new developments and technologies through continuous learning, industry publications, vendor contacts, trainings, etc.
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