Power BI Architect

DATAECONOMY•New York, NY

35d

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.