Key Responsibilities :

• Build and maintain semantic views in Snowflake as the foundation for Power BI semantic models.
• Design and develop enterprise-grade semantic models in Power BI aligned with business requirements and analytics needs.
• Collaborate with Data Engineering teams to ensure optimal data pipeline architecture and integration with semantic layers.
• Establish and enforce best practices for semantic model design, including naming conventions, relationships, and calculation logic.
• Serve as the primary liaison between business users, data strategists, technical teams, and decentralized development teams.
• Partner closely with business stakeholders to understand reporting and analytics requirements.
• Facilitate productive dialogue between technical and non-technical teams, ensuring all voices are heard and understood.
• Translate business needs into technical specifications and vice versa.
• Identify opportunities where semantic model improvements can drive business value and competitive advantage.
• Design and deliver workshops to educate business users on leveraging the semantic layer for self-service analytics.
• Create comprehensive documentation and training materials for semantic model usage.
• Provide ongoing support and guidance to users adopting self-service reporting practices.
• Develop governance frameworks that empower users while maintaining data integrity and security.
• Integrate the Snowflake semantic layer with downstream BI tools, including Power BI.
• Support Snowflake Cortex Analyst capabilities, enabling natural language querying on governed semantic models.
• Implement DAX calculations, measures, and KPIs to support business intelligence needs.
• Optimize model performance and ensure scalability as data volumes grow.
• Maintain version control and documentation for all semantic model components.

Required Qualifications :

• 4-6 years of hands-on experience with Power BI development, with significant focus on semantic model design.
• Proven experience working with Snowflake, including creating and optimizing semantic views.
• Strong understanding of data pipelines and ETL/ELT processes.
• Proficiency in DAX (Data Analysis Expressions) and M Query language.
• Experience with data modeling concepts including star schema, snowflake schema, and dimensional modeling.
• Demonstrated ability to work collaboratively with business stakeholders and translate requirements into technical solutions.
• Experience conducting user training sessions and workshops.
• Strong documentation and communication skills.
• Ability to explain complex technical concepts to non-technical audiences.
• Understanding of data governance and security best practices.
• Experience with version control systems and development lifecycle management.
• Ability to manage multiple priorities and work independently in a fast-paced environment.
• Exceptional interpersonal and communication skills, including active listening and synthesizing diverse perspectives.
• Experience facilitating meetings, workshops, and training sessions with groups ranging from 5-50+ participants.
• Demonstrated business acumen with ability to understand industry trends, business metrics, and organizational objectives.
• Comfortable navigating ambiguity and mediating between competing priorities.

Preferred Qualifications :

• Experience with Cloud data platforms.
• Experience with other BI tools or data visualization platforms.
• Knowledge of SQL and database design principles.
• Familiarity with Agile/Scrum methodologies.
• Certification in Power BI or related Microsoft technologies.
• Experience with data governance frameworks and metadata management.