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Business Intelligence Architect
Business Intelligence ArchitectRAPS Consulting Inc • Newark, NJ, United States
Business Intelligence Architect

Business Intelligence Architect

RAPS Consulting Inc • Newark, NJ, United States
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Key Responsibilities

  • Design, develop, and maintain interactive Power BI dashboards, paginated reports, and semantic models.
  • Work closely with business stakeholders to gather requirements and translate them into scalable data models.
  • Perform data extraction, transformation, and loading (ETL) across diverse sources using Azure Fabric pipelines, Dataflows Gen2, and Lakehouse / Table formats.
  • Optimize dataset performance, gateway configurations, DAX calculations, and report responsiveness.
  • Implement row-level security (RLS), workspace governance, version control, and user access management.
  • Ensure data accuracy, validation, and QA across reports and datasets.
  • Provide training and support to business users on Power BI and Azure analytics capabilities.
  • Collaborate with data engineering teams to integrate Power BI solutions with the broader Azure data ecosystem.

Required Skills

  • Strong proficiency in Power BI Desktop, Power BI Service, DAX, and Power Query (M).
  • Hands-on experience with Microsoft Fabric (Data Factory, Lakehouse, Warehouse, Pipelines, Notebooks, Dataflows Gen2).
  • Solid understanding of the Azure ecosystem : Azure Data Lake, Azure SQL, Azure Synapse, Azure Active Directory, and Purview (Data Governance).
  • Strong SQL skills and experience working with relational and analytical databases.
  • Ability to leverage Python within Power BI and Azure Fabric for advanced data processing, automation, and statistical analysis.
  • Experience with data modeling, data warehousing principles, and dimensional modeling (Star / Snowflake).
  • Knowledge of data governance, security, compliance, and enterprise BI best practices.
  • Familiarity with SharePoint, Git, DevOps pipelines, and CI / CD for BI assets.

    • Nice to Have

  • Experience with Investment / Asset Management datasets (trades, holdings, performance, risk, fund accounting).
  • Experience with R, advanced analytics, or machine learning notebooks within Fabric.
  • Exposure to Power Automate, Dataverse, or broader Power Platform capabilities.
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