• Design, build, and maintain robust semantic models and curated datasets that translate business logic into reusable, governed data products for self-service analytics and AI consumption. • Develop and optimize data pipelines and dataflows to support scalable and performant analytics solutions across Microsoft Fabric, Power BI, Azure, and Databricks. • Collaborate with citizen developers and business stakeholders to understand analytical requirements and ensure semantic models and data products meet usability, accuracy, and compliance standards. • Implement and manage row-level security (RLS) within semantic models to ensure appropriate data access and compliance with organizational policies. • Develop and execute testing and validation strategies to ensure the accuracy, reliability, and consistency of data transformations and analytics outputs. • Apply engineering best practices such as modular design, version control, and code documentation to analytics workflows. • Document business logic, data transformations, and model structures in technical documentation, data dictionaries, and metadata catalogs. • Design and implement automated data workflows and orchestration strategies to streamline model deployment and ensure timely data availability. • Support coordination with contractors and internal teams to align on data architecture, modeling standards, and delivery timelines. • Promote adoption of self-service analytics tools by enabling business users and ensuring data products are intuitive, well-documented, and aligned with user needs.