Overview
Skills
Job Details
Job Summary:
We are seeking a highly skilled Power BI Architect to design, implement, and optimize enterprise-level business intelligence (BI) solutions. The ideal candidate will have deep expertise in Power BI, data modeling, DAX, and data visualization, along with strong experience in data architecture, ETL processes, and integration with cloud/on-premises data sources. This role requires both hands-on technical skills and the ability to collaborate with business stakeholders to deliver scalable and insightful BI solutions.
Key Responsibilities:
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Lead the design and implementation of end-to-end Power BI solutions for enterprise reporting and analytics.
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Architect data models and develop optimized DAX calculations for business KPIs and metrics.
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Define and enforce Power BI governance standards including security, workspace management, and deployment pipelines.
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Collaborate with business teams to gather requirements and translate them into scalable BI solutions.
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Optimize Power BI reports and dashboards for performance, usability, and scalability.
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Integrate Power BI with various data sources (SQL Server, Azure Data Lake, Synapse, Databricks, APIs, etc.).
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Provide technical leadership in BI strategy, best practices, and adoption across the organization.
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Mentor and guide junior developers and analysts in Power BI development and data visualization practices.
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Work with enterprise architecture teams to align BI solutions with data strategy and governance frameworks.
Required Skills & Qualifications:
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8+ years of experience in Business Intelligence / Data Analytics, with at least 4+ years in Power BI architecture and development.
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Strong expertise in DAX, Power Query (M), and data modeling.
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Hands-on experience with SQL, stored procedures, and performance tuning.
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Solid understanding of ETL/ELT processes and integration with cloud/on-premises data platforms.
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Experience in Azure ecosystem (Azure Data Factory, Synapse, Data Lake, Databricks) is highly preferred.
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Strong knowledge of Power BI administration, governance, and security.
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Ability to communicate BI solutions effectively to both technical and business stakeholders.
Good to Have:
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Certifications such as Microsoft Certified: Power BI Data Analyst Associate or Azure Data Engineer.
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Experience with other BI tools (Tableau, Qlik, Looker) for comparative insights.
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Knowledge of data warehousing concepts and modern data lakehouse architectures.