The Role
Lead enterprise Power BI architecture, semantic modeling, DAX optimization, governance, security, and Azure BI integrations. Define data strategy, modeling, metadata, quality, and master data standards. Optimize large-scale datasets and reporting solutions, collaborate with executives and cross-functional stakeholders, establish visualization standards, and mentor BI developers, analysts, and business users.
Summary Generated by Built In
We are seeking a highly experienced Senior Power BI Architect to lead the design, implementation, and
governance of Power BI solutions across the enterprise. The ideal candidate will bring advanced knowledge in
data architecture, Azure BI stack integration, and enterprise-scale reporting solutions. This is a leadership role
involving architecture ownership, stakeholder engagement, and technical mentorship across multiple teams.
Key Responsibilities:
• 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.
• 8+ 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)
• Experience in Agile BI delivery model
Skills Required
- Bachelor's degree in computer science, Information Technology, or a related field
- 8+ years of experience in Power BI Architecture
- Advanced Power BI, including DAX, Power Query, Dataflows, and Composite Models
- Experience with Azure Synapse, Azure Data Factory, Azure SQL, and Azure Purview
- SQL and data modeling, including Star Schema, Snowflake, and Normalization
- Power BI governance and security best practices
- Stakeholder management and BI strategy alignment
- Excellent communication and mentoring skills
- Microsoft Power BI or Data Engineering certifications
- Exposure to Power Platform, Python, or R for advanced analytics
- Experience in an Agile BI delivery model
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The Company
What We Do
Kavi Global is a data analytics and AI company that helps enterprises make intelligent, data-driven decisions. It provides analytics software, solutions, and services spanning strategy, design, development, implementation, and support. Its capabilities include business intelligence, data warehousing, big data, advanced analytics, machine learning, data management, and AI, serving organizations across multiple industries and supporting digital transformation initiatives.
