Power BI Architect designing and implementing enterprise-grade Business Intelligence solutions. Leading technical architecture and data modeling efforts within a regulated enterprise environment.
Responsibilities
Lead the design and implementation of enterprise-grade Business Intelligence solutions.
Create and optimize Power BI architecture, data models, and performance engineering.
Define scalable architecture across various environments.
Collaborate with business stakeholders and provide technical leadership.
Requirements
9–12 Years Cloud Exposure: Azure (Preferred)
Additional BI Exposure: Qlik / Tableau / Looker (Good to Have)
Strong technical depth with architectural thinking
Stakeholder engagement capability
Experience operating within regulated enterprise environments.
Define and implement scalable Power BI architecture across Development, UAT, and Production environments.
Design robust semantic models aligned with enterprise data warehouse standards.
Establish best practices for data modeling, naming conventions, workspace governance, and deployment pipelines.
Provide high-level design and effort estimation for BI initiatives.
Develop advanced DAX measures and optimized calculated columns.
Build complex transformations using Power Query (M language).
Design and implement Power BI Dataflows for centralized transformation logic.
Optimize query performance through aggregation strategies, incremental refresh, and query folding.
Manage report migration across environments using deployment pipelines.
Configure and maintain On-Premises Data Gateways.
Security & Governance Architect and implement Row-Level Security (RLS).
Define enterprise-wide security frameworks aligned with Azure AD.
Ensure compliance with data governance, audit, and regulatory standards.
Conduct performance diagnostics for dashboards and datasets.
Optimize SQL queries and backend data models for large-volume datasets.
Collaborate with business stakeholders to translate analytical requirements into scalable BI solutions.
Provide technical leadership and mentoring to BI developers.
Identify automation opportunities to improve reporting efficiency and operational performance.
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