Semantic Model Developer

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & Dev Ops, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our Fin Labs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.

Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17,000+, and has 58 offices in 22 countries within key global markets.

We are seeking a skilled Semantic Model Developer to design, develop, and maintain enterprise semantic models that enable consistent, trusted, and user-friendly data analysis. The role involves translating business requirements into logical data models, defining business metrics and relationships, and supporting reporting, analytics, and self-service business intelligence initiatives.

The ideal candidate has strong experience with data modeling, SQL, BI platforms, data warehousing, and stakeholder collaboration.

Additional Information*

The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Mississauga, ON is CAD $110k - CAD $120k/year & benefits (see below).

• Semantic Model and Cube Development
• Design, develop, enhance, and maintain enterprise-grade Power BI semantic models.
• Develop and support SSAS tabular models and, where applicable, multidimensional OLAP cubes.
• Translate banking and financial-reporting requirements into scalable analytical models.
• Design reusable model components, including tables, relationships, measures, calculation logic, hierarchies, perspectives, and business-friendly metadata.
• Develop complex DAX measures, calculated columns, calculation groups, and time-intelligence solutions.
• Develop and maintain MDX calculations and cube components where multidimensional SSAS is used.
• Create governed and reusable semantic layers that support multiple reports, dashboards, analytical products, and business functions.
• Assess existing cube and semantic-model designs and recommend improvements to scalability, maintainability, usability, and performance.
• Data Modelling and Architecture
• Design logical and physical data models using dimensional modelling principles.
• Develop star and snowflake schemas, including fact tables, dimension tables, hierarchies, keys, and relationships.
• Work with enterprise data warehouses, data marts, operational data stores, and cloud-based data platforms.
• Define appropriate model granularity, aggregation strategies, relationship behaviour, and data-access patterns.
• Assist with modernizing legacy cubes and reporting models into Power BI or modern tabular semantic models.
• Ensure semantic models maintain consistent business definitions across reports and consuming applications.
• Maintain clear data lineage between source systems, data-transformation layers, semantic models, and reports.
• Power BI Development
• Develop Power BI reports and dashboards based on governed semantic models.
• Build complex and reusable DAX measures to support financial, operational, risk, regulatory, and management reporting.
• Use Power Query and M to clean, transform, and integrate data from multiple sources.
• Configure import, Direct Query,…