
Solutions Architect IV- Data and Analytics
Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Solutions Architect IV – Data and Analytics based in United States.
This senior-level architecture role is focused on designing, optimizing, and scaling enterprise data and analytics solutions within a modern BI ecosystem. The position plays a key role in shaping how data is structured, governed, and delivered across the organization to enable self-service analytics and data-driven decision-making. Working closely with business stakeholders and technical teams, the Solutions Architect ensures that data platforms are stable, scalable, and aligned with evolving business needs. The role also drives the transition toward modern data architecture patterns, including data lake integration and enhanced cloud-based analytics capabilities. It requires strong expertise in BI platforms, data engineering concepts, and enterprise reporting tools, with a particular focus on Power BI and Oracle Analytics Cloud environments. This is a highly collaborative and influential role that bridges business strategy with technical execution in a fast-paced, data-centric environment.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Solutions Architect IV – Data and Analytics based in United States.
This senior-level architecture role is focused on designing, optimizing, and scaling enterprise data and analytics solutions within a modern BI ecosystem. The position plays a key role in shaping how data is structured, governed, and delivered across the organization to enable self-service analytics and data-driven decision-making. Working closely with business stakeholders and technical teams, the Solutions Architect ensures that data platforms are stable, scalable, and aligned with evolving business needs. The role also drives the transition toward modern data architecture patterns, including data lake integration and enhanced cloud-based analytics capabilities. It requires strong expertise in BI platforms, data engineering concepts, and enterprise reporting tools, with a particular focus on Power BI and Oracle Analytics Cloud environments. This is a highly collaborative and influential role that bridges business strategy with technical execution in a fast-paced, data-centric environment.