Solution Architect (Power BI/Fabric)

Experience needed: 10-15 years Type: Full-Time Mode: 100% WFO (Monday to Friday) Shift: General Shift Location: Hyderabad, India Job Description: Power BI/Fabric Solution Architect is responsible for defining the architecture and Power BI solution and the related components. Power BI Architect is expected to assess the user requirements and define and execute Business Intelligence project implementation from end-to-end. Key Responsibilities: Designing, developing, and maintaining business intelligence solutions using Power BI. Power BI development and administration. Define the Architecture of the Power BI service, visual reports, dashboards, and KPI scorecards using Power BI desktop. Define the architecture of the semantic model and establish relationships. Establish data level security and object level security. Establish model used for self-service BI. Capacity estimation and planning. User management and administration. Should be able to collaborate with teams to integrate systems. Ability to look at various data load options and suggest an optimal way of proceeding. Integrate Power BI reports into other applications using embedded analytics like Power BI service (SaaS), or by API automation. Skills and Experience: 10-15 years of relevant IT experience in the following areas, including implementation experience in Power BI/Fabric Architecture and solutions. 7+ years of strong architecturing solution experience using BI tools like Power BI and hands-on software development experience in Power BI, etc. Must be a expert and should have proven experience in working with Microsoft Fabric. 4+years of experience in Designing Dashboards, templates and Visuals. Strong & Proven experience in Databases like Oracle, SQL Server, Synapse. Strong understanding across cloud and infrastructure components. Great dashboarding capabilities is required. Exposure to implement row level security on the Power BI report. Expertise in writing and optimizing DAX queries, Power Queries is a must. Understanding & knowledge of Python and Data warehouse concepts. Proficiency in building Semantic layer well in business intelligence space. Hands-on experience with cloud platforms such as AWS, Azure. Show more Show less