Power BI Architect

About The Role
We are seeking a highly skilled Power BI Architect to design, develop, and implement enterprise-grade business intelligence and analytics solutions.

The ideal candidate will have extensive experience with Power BI, DAX, SQL, Azure Data Services, and Data Modeling, along with a strong understanding of modern data architecture principles. You will be responsible for shaping the BI strategy, ensuring data reliability, scalability, and visual excellence to empower data-driven decision-making across the organization.

Key Responsibilities
BI Architecture & Design :

• Design end-to-end Power BI architecture, including data modeling, dataflows, dataset management, and report governance.
• Architect semantic data models and implement best practices for DAX, performance optimization, and reusability.
• Develop data pipelines and integration patterns using Azure Data Factory (ADF), Synapse Analytics, and Databricks to enable seamless data transformation and loading.
• Define and maintain data governance, security models, and role-level access controls (RLS/OLS) in Power BI.

Dashboard Development & Visualization

• Lead the design and development of interactive, visually compelling Power BI dashboards and reports for business stakeholders.
• Work closely with business users to translate analytical requirements into high-performing, self-service BI solutions.
• Implement advanced DAX calculations, time intelligence functions, and custom visuals to enhance insights.
• Ensure dashboards follow UI/UX best practices and adhere to corporate branding guidelines.

Data Strategy & Integration

• Collaborate with data engineering and data science teams to define the enterprise data architecture roadmap.
• Integrate Power BI with various data sources SQL Server, Azure Synapse, Snowflake, Databricks, APIs, Excel, and SharePoint.
• Optimize data refresh schedules, gateway configurations, and workspace management to ensure high availability and reliability.
• Contribute to the modern data platform initiatives by leveraging Azure Data Lake, ADF, and Power Platform integration (Power Apps, Power Automate).

Governance & Performance Optimization

• Define Power BI governance frameworks, including workspace organization, naming conventions, data lineage tracking, and content certification.
• Perform performance tuning for datasets, queries, and visuals to minimize load times and enhance user experience.
• Maintain documentation for data models, KPIs, measures, and architecture standards.
• Implement DevOps for Power BI including CI/CD pipelines using Azure DevOps for report deployment and version control.

Leadership & Collaboration

• Lead and mentor a team of BI developers and analysts, providing technical guidance and career growth support.
• Collaborate with CIO, Data Engineering, and Business teams to align BI initiatives with organizational goals.
• Conduct stakeholder workshops to gather requirements, present prototypes, and drive adoption of analytics solutions.
• Ensure adherence to data privacy and compliance standards (GDPR, ISO, SOC).

Required Technical Skills
Power BI Expertise :
Advanced experience with Power BI Desktop, Power BI Service, DAX, Power Query (M Language), and Row-Level Security (RLS).

Data Modeling :
Strong knowledge of Star/Snowflake schema, dimensional modeling, and data warehousing concepts.

SQL & Databases :
Excellent SQL skills; experience with Azure SQL Database, Synapse Analytics, and on-prem SQL Server.

Azure Ecosystem :
Experience with Azure Data Factory, Azure Data Lake, Azure Synapse, Databricks, and Logic Apps.

ETL/ELT Processes :
Deep understanding of ETL design patterns, dataflows, and incremental refresh strategies.

DevOps & Deployment :
Experience implementing CI/CD for Power BI using Azure DevOps or Git.

Visualization & Analytics :
Expertise in KPI creation, storytelling through data, and building advanced analytical reports.

Preferred Skills

• Familiarity with Python or R for data transformation and integration with Power BI.
• Exposure to Power Platform (Power Apps, Power Automate) for low-code solutions.
• Experience with cloud data warehouses like Snowflake, Redshift, or BigQuery.
• Understanding of machine learning models integration within Power BI reports.

Certification

• Microsoft Certified : Power BI Data Analyst Associate (PL-300)
• Microsoft Certified : Azure Data Engineer Associate (DP-203)

Soft Skills

• Excellent communication and presentation skills.
• Strong problem-solving, analytical, and conceptual thinking abilities.
• Ability to manage multiple projects and stakeholders in a fast-paced environment.
• Team leadership and mentoring experience.

Education :
Bachelors or Masters degree in Computer Science, Information Technology, Data Analytics, or a related field.

Why Join Us?

• Opportunity to architect enterprise-wide BI solutions that impact strategic decisions.
• Work in a modern Azure data environment with cutting-edge BI and analytics tools.
• Collaborative and innovative work culture that encourages learning and experimentation.
• Competitive compensation and career growth opportunities.

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