Power BI Architect

DataeconomyNew York, NY
3d

About The Position

We are seeking a highly skilled Power BI Architect with strong experience in QlikView to lead end -to -end BI solution design, implementation, and optimization. The ideal candidate should have deep expertise in data modelling, dashboard architecture, and stakeholder requirement gathering , along with strong leadership in driving enterprise analytics initiatives.

Requirements

  • 10–15 years of overall experience in Business Intelligence / Data Analytics.
  • Minimum 5+ years in Power BI, with expert -level DAX, data modelling, and dashboard design.
  • Strong experience in QlikView development (scripting, UI, data modelling).
  • Proven success in requirement gathering, stakeholder interaction, and solution architecture.
  • Strong SQL skills and familiarity with cloud platforms (Azure preferred).
  • Experience with Power BI Service, Power BI Gateway, and deployment pipelines.
  • Excellent communication and presentation skills.
  • Experience working in enterprise environments with complex data ecosystems.

Nice To Haves

  • Experience with Azure Synapse, Databricks, ADF, or similar cloud data tools.
  • Exposure to Power Automate and integration with Power Platform.
  • Prior experience in consulting or client -facing roles.
  • Certifications like Microsoft Power BI Data Analyst Associate (PL -300) or Azure Data Engineer.

Responsibilities

  • Design, develop, and implement enterprise -grade Power BI solutions including data models, DAX calculations, dashboards, and reports.
  • Build scalable semantic data models using best practices in performance tuning and data relationships.
  • Establish Power BI architecture standards, governance, deployment pipelines, and workspace management.
  • Lead BI modernization initiatives including migration from QlikView to Power BI .
  • Analyze QlikView dashboards, scripts, and models to rebuild equivalent or improved solutions in Power BI.
  • Provide expert guidance on optimizing the transition strategy and reducing technical debt.
  • Collaborate with business stakeholders to gather, refine, and document analytics requirements .
  • Translate business needs into technical solutions and data models.
  • Conduct workshops, requirement discussions, and design review sessions with senior leadership.
  • Work with data engineering teams on data pipelines, ETL processes, Azure services, SQL, and source integrations .
  • Ensure data accuracy, consistency, and quality across reporting layers.
  • Define BI development standards, reusable templates, naming conventions, and governance practices.
  • Mentor junior developers and guide cross -functional teams on BI processes.
  • Support architecture roadmaps for enterprise analytics platforms.
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