Senior Power BI Architect

Posted 20 Days Ago
Be an Early Applicant
Chennai, Tamil Nadu, IND
In-Office
Senior level
Artificial Intelligence • Analytics • Business Intelligence • Consulting
The Role
Lead enterprise Power BI architecture, including scalable semantic models, data transformations, DAX optimization, governance, security, Azure integration, and performance tuning. Establish data modeling, metadata, quality, and reporting standards while partnering with executives and data owners to define strategic KPIs. Mentor BI developers, analysts, and business users, and oversee enterprise-scale reporting solutions across multiple teams.
Summary Generated by Built In
Senior Power BI Architect

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)
  • 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

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 knowledge, including DAX, Power Query, Dataflows, and Composite Models
  • SQL and data modeling knowledge, 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 qualification or certification
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The Company
117 Employees
Year Founded: 2008

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.

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