A Business Intelligence Developer or Architect develops and builds technology systems that support business intelligence for a company. Identifies software needed for business intelligence analysts; sets up systems for collecting data on business operations, customers or sales.
Power BI Migration Engineer Prodapt - 3.8 Richardson, TX Job Details 1 hour ago Qualifications Data model design Commercial use (data warehousing systems) Data visualization software proficiency Data migration Implementing cloud migration projects Business intelligence report generation Schema design Stored procedures Data Architecture Design (Architecture design skills) Business intelligence tools Bachelor's degree SQL Server Management Studio Database migration or upgrading Data analytics tools Technical architecture Project stakeholder communication Dimensional modeling T-SQL Stakeholder management
Full Job Description Overview:
Prodapt is the largest specialized player in the Connectedness industry. As an AI-first strategic technology partner, Prodapt provides consulting, business reengineering, and managed services for the largest telecom and tech enterprises building networks and digital experiences of tomorrow. A ServiceNow-invested company, Prodapt has been recognized by Gartner as a Large, Telecom-Native, Regional IT Service Provider. A "Great Place To Work® Certified™" company, Prodapt employs over 5,000 technology and domain experts across the Americas, Europe, India, Africa, & Japan. Prodapt is part of the 130-year-old business conglomerate The Jhaver Group, which employs over 32,000 people across 80+ locations globally. We are seeking a specialized Power BI Migration Engineer to lead the modernization of our legacy reporting infrastructure. In this role, you will drive the end-to-end migration of paginated reports from SQL Server Reporting Services (SSRS) to the cloud-based Power BI service / Microsoft Fabric platform. You will be responsible for evaluating legacy reports, redesigning data models for cloud compatibility, converting paginated outputs, and implementing modern interactive dashboards that maximize our Microsoft Fabric investment.
Responsibilities:
Responsibilities Migration Assessment:
Evaluate the existing SSRS reporting catalog to catalog dependencies, identify redundancies, and plan the migration wave strategy.
Report Conversion:
Convert legacy
SSRS RDL
files into Power BI Paginated Reports and rebuild standard reports into interactive Power BI dashboards.
Semantic Modeling:
Design, build, and optimize enterprise-grade Power BI Semantic Models using DAX and Power Query (M formula language).
Fabric Cloud Integration:
Deploy and manage report assets within the Microsoft Fabric SaaS environment, utilizing Fabric workspaces, capacities, and deployment pipelines.
Data Source Modernization:
Transition legacy SQL queries and stored procedures into cloud-optimized data connections, leveraging Fabric Shortcuts, Lakehouses, or Data Warehouses where applicable.
Security & Governance:
Implement cloud-based data security standards, including Row-Level Security (RLS), Object-Level Security (OLS), and Fabric RBAC configurations.
Gateway Management:
Configure and maintain On-Premises Data Gateways to ensure secure, automated data refreshes between on-prem sources and the Fabric cloud.
Testing & Validation:
Conduct rigorous parallel testing between SSRS and Power BI to guarantee absolute data accuracy, alignment, and formatting consistency.
Requirements:
Required Skills & Qualifications Education:
Bachelor's degree in Computer Science, Information Systems, Business Intelligence, or a related technical field.
Migration Expertise:
Proven track record of successfully executing at least one large-scale SSRS to Power BI Cloud / Fabric migration.
Tech Stack Mastery:
Legacy Stack:
Deep expertise in SSRS, Report Builder, T-SQL, stored procedures, and SQL Server Management Studio (SSMS).
Cloud Stack:
Advanced knowledge of the Power BI Service, Power BI Desktop, Power BI Paginated Report Builder, and Microsoft Fabric.
Languages:
Expert-level SQL and advanced proficiency in DAX and Power Query (M).
Architecture Understanding:
Strong grasp of standard data warehousing principles, star schemas, dimensional modeling, and cloud data platform architecture.
Soft Skills:
Strong analytical thinking, attention to detail, and the communication skills required to manage business stakeholder expectations during downtime or report layout changes.
