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Job Description

Job Description :


- Architect Enterprise BI Solutions: Design and implement scalable Power BI architecture across complex enterprise environments, ensuring alignment with data strategy and business objectives.


- Data Architecture Leadership: Lead the design of semantic models, complex data transformations, and optimized DAX calculations across large data sets and distributed systems.

- Power BI Governance: Define and implement Power BI governance strategy, including workspace management, content lifecycle, usage monitoring, version control, and security protocols.

- Azure Ecosystem Integration: Architect and optimize BI solutions integrated with Azure services including Azure Synapse, Data Lake, Data Factory, Azure SQL, and Purview.

- Enterprise Data Strategy: Contribute to enterprise data architecture decisions, including modelling standards, metadata management, data quality, and master data strategies.

- Mentorship & Enablement: Provide technical leadership and mentorship to BI developers, analysts, and business users; establish enterprise standards for data visualization, reporting, and performance optimization.

- Performance & Scalability: Drive tuning and optimization of Power BI models, datasets, and reports for enterprise-scale usage (millions of rows, complex logic, large user base).

- Stakeholder Collaboration: Work with senior executives, data owners, and cross-functional teams to define KPIs, align BI outputs with strategic goals, and translate complex requirements into robust solutions.

Requirements :

- Bachelor's degree in computer science, Information Technology, or related field.

- 5+ years of experience in Power BI Architecture.

- Advanced Power BI (DAX, Power Query, Dataflows, Composite Models)

- Azure Synapse, Azure Data Factory, Azure SQL, Azure Purview

- SQL & Data Modelling (Star Schema, Snowflake, Normalization)

- Power BI Governance and Security best practices

- Stakeholder Management & BI Strategy alignment

- Excellent communication and mentoring skills

Preferred Qualifications :

- Microsoft Certified : Power BI/Data Engineering certifications

- Exposure to Power Platform, Python or R (for advanced analytics)


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