Backround:

The client is transforming its legacy, cube-based reporting environment into a modern, scalable analytics platform using Databricks as the central data platform and Tableau as the reporting frontend. The goal is to establish governed semantic data models, improve reporting performance, and create a sustainable architecture for future BI and analytics use cases.

Responsibilities:

- Design and deliver scalable analytics solutions that support enterprise-wide insights and decision-making

- Develop efficient data structures and consumption layers to enable reliable reporting and self-service analytics

- Improve responsiveness, scalability, and overall efficiency across the analytical ecosystem

- Collaborate with cross-functional stakeholders to define reusable frameworks, implementation standards, and long-term operating models

Qualifications:

- Proven hands-on experience with modern cloud-based data and analytics technologies, including strong expertise in Databricks and Tableau

- Deep understanding of analytical data structures, business metrics frameworks, and information delivery concepts

- Track record of optimizing large-scale datasets, analytical workloads, and visualization environments for enterprise use

- Experience modernizing legacy business intelligence environments and establishing governance, security, and data ownership principles is highly desirable

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