BI Architect - R01562560

Brillio

Bengaluru

On-site

INR 3,500,000 - 5,200,000

Full time

14 days+
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Job summary

Brillio is looking for an experienced BI Architect to lead Power BI–driven analytics across large enterprise projects in Bengaluru. You will own end‑to‑end BI architecture, data modeling, and Azure integration, delivering high‑performing dashboards and semantic layers.

You will mentor teams, shape best practices, and collaborate with business, data engineering, and cloud teams to drive AI‑enabled insights while ensuring security and scalability.

Qualifications

  • 15+ years of experience in Business Intelligence, Analytics, or Data Platforms.
  • Significant experience leading enterprise‑scale BI modernization and transformation programs.
  • Demonstrated ownership of semantic layers, metric governance, and BI architecture.
  • Proven experience with Power BI, Tableau, and Looker in large‑scale deployments.
  • Exposure to AI‑enabled BI use cases and platforms is strongly preferred.

Responsibilities

  • Coach and mentor teams to build depth in modern BI, semantic modeling, and AI readiness
  • Contribute to practice growth through IP creation, accelerators, pre‑sales support, and thought leadership

Education

Graduate or Postgraduate degree in Engineering, Computer Science, Data, Analytics, or a related field

Tools

Power BI
SQL
Fabric
AI/Copilot
Azure Stack

Job description

BI Architect
Primary Skills
  • Power BI
  • SQL
  • Fabric
  • AI/Copilot
  • Azure Stack
Specialization

Other Vizulization tool experience

Role Overview

We are looking for experienced BI Architects with deep expertise in Power BI–led analytics solutions, strong data modeling and SQL capabilities, and hands‑on experience integrating BI platforms with the Microsoft Azure ecosystem. The role requires end‑to‑end ownership of BI architecture—from data ingestion and transformation to semantic modeling, visualization, performance optimization, and stakeholder enablement. The ideal candidate will act as a technical authority and solution architect, guiding BI design decisions, enforcing best practices, and partnering closely with business, data engineering, and cloud teams to deliver scalable, secure, and high‑performance analytics solutions.

Key Responsibilities
  • Coach and mentor teams to build depth in modern BI, semantic modeling, and AI readiness
  • Contribute to practice growth through IP creation, accelerators, pre‑sales support, and thought leadership
Personal Attributes
  • Experience working across multiple industries and complex enterprise environments
  • Excellent written and verbal communication skills with strong executive articulation
  • Structured, outcome‑oriented, and process‑driven mindset
  • Ability to manage multiple programs and priorities simultaneously
  • Comfortable working with distributed global teams
  • Ability to navigate ambiguity and manage difficult stakeholder conversations
  • Strong inclination toward thought leadership, innovation, and capability building
Experience Guidelines
  • 15+ years of experience in Business Intelligence, Analytics, or Data Platforms
  • Significant experience leading enterprise‑scale BI modernization and transformation programs
  • Demonstrated ownership of semantic layers, metric governance, and BI architecture
  • Proven experience with Power BI, Tableau, and Looker in large‑scale deployments
  • Exposure to AI‑enabled BI use cases and platforms is strongly preferred
Education
  • Graduate or Postgraduate degree in Engineering, Computer Science, Data, Analytics, or a related field
Projects This Role Will Support
  • Enterprise BI Modernization and Cloud BI Transformations
  • AI‑Enabled BI and Semantic Layer Implementations
  • BI Control Towers and Executive Decision Platforms
  • Report Rationalization and BI Cost Optimization Programs
  • Insight Automation, Anomaly Detection, and Narrative BI Initiatives
Why Join
  • Opportunity to architect high‑impact BI solutions for global clients.
  • Work at the intersection of Power BI, Azure, and enterprise analytics.
  • Influence BI standards, architecture decisions, and analytics strategy.
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