Teams at SMASH

Designs and optimizes enterprise-scale semantic models in Microsoft Fabric and Power BI. Responsibilities include dimensional and star-schema modeling, fact and dimension tables, SCDs, advanced DAX measures, SQL optimization, relationships, hierarchies, KPIs, and Tabular Editor/TOM development. The role focuses on improving query performance, data connections, memory utilization, scalability, and maintainability while collaborating with BI, data, analytics, and business teams.

Designs scalable enterprise data and BI architectures, including data warehouses, dimensional models, databases, ETL/ELT pipelines, and integrations. Develops complex SQL solutions, supports Power BI or Tableau reporting, and applies Python or R for automation. Collaborates with technical and business stakeholders, establishes governance and security standards, optimizes performance and reliability, modernizes data platforms, and documents architectural decisions and data flows.

Develop and maintain enterprise Power BI reports, dashboards, and scalable semantic models. Build DAX measures, write SQL queries, optimize tabular models and report performance, analyze data quality, and support cloud or on-premises BI environments. Collaborate with technical and business stakeholders, use Git for version control, and maintain documentation covering models, reports, business logic, dependencies, and deployment processes.