Data Visualization Architect

At Praval , we believe that technology has the power to transform businesses and enrich lives.

As a team, we strive to create innovative software applications, design intuitive user interfaces, develop robust collaborative systems, and explore emerging technologies that push the boundaries of what is possible.

Our goal is to deliver outstanding IT solutions that solve complex problems and drive our clients' success in today's digital age.

We believe in recognizing and rewarding exceptional performance, and we offer a competitive compensation package that includes benefits, flexible work arrangements, and a vibrant work-life balance.

If you are passionate about technology, thrive in a fast-paced and dynamic environment, and are eager to make a real impact in the IT industry, Praval is the place for you.

Come be a part of our journey as we revolutionize the world of technology and shape the future together.

• Architecting and implementing enterprise Power BI solutions including data models, dashboards, and reports.
• Designing end-to-end BI frameworks covering data acquisition, transformation, modelling , and visualization.
• Collaborating with data engineers to ensure optimized Azure data pipelines using ADF, AAS, Synapse, and Dataflows.
• Building scalable and secure Power BI semantic models leveraging DAX, Power Query, and tabular modeling .
• Defining and enforcing data governance standards, including row-level and object-level security, data lineage, and access controls.
• Leading modernization of legacy BI platforms (e.g., SSRS, Crystal, Spotfire) into modern Power BI environments.
• Partnering with stakeholders to gather business requirements and deliver intuitive, insightful visualizations and KPIs.
• Mentoring and guiding BI developers, ensuring best practices in performance tuning and dashboard optimization.
• 10–15 years of experience in Business Intelligence, Data Visualization, and Data Architecture.
• Deep expertise in Microsoft Power BI, including Power BI Desktop, Service, Gateways, Dataflows, and Deployment Pipelines.
• Strong proficiency in data modelling (Star, Snowflake, Galaxy schemas) and DAX.
• Experience with Azure data ecosystem – ADF, Synapse, Data Lake, AAS, and Power Automate.
• Solid understanding of SQL Server, SSAS (tabular/multidimensional), and SSRS.
• Hands-on exposure to ETL/ELT, API integrations, and data connectors.
• Strong communication, stakeholder engagement, and team leadership abilities.
• Experience working in Agile environments and managing onshore–offshore delivery models.