Cube Developer

We are

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 & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs 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.

Our challenge

We are seeking an experienced Cube Developer / Power BI Developer to design, develop, and maintain enterprise semantic models, analytics solutions, reports, dashboards, and data integration processes. The ideal candidate will have strong hands-on experience with Cube Dev, Power BI, DAX, SQL, data modeling, and cloud data platforms, along with a solid understanding of data governance, security, and performance optimization. This role will work closely with business stakeholders, data engineers, and technology teams to translate business requirements into scalable, secure, and high-performing analytics solutions.

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 $115k – CAD $125k/year & benefits (see below).

The Role

Responsibilities:

• Cube Dev Development
• Design and develop Cube Dev semantic models using YAML-based cube definitions.
• Build and maintain dimensions, facts, measures, joins, and pre-aggregation logic.
• Create and manage Cube Views and access policies.
• Develop analytical solutions using DAX, MDX, SQL, and GraphQL APIs.
• Implement security controls, including:
• Row-Level Security (RLS)
• Column-Level Security (CLS)
• Role-based access control
• Optimize semantic-layer performance through caching, query optimization, and pre-aggregation strategies.
• Establish and maintain modeling standards, naming conventions, and reusable semantic components.
• Troubleshoot Cube Dev models, queries, access issues, and performance bottlenecks.
• Power BI Development
• Design, develop, and maintain Power BI reports, dashboards, scorecards, and analytical applications.
• Create and optimize complex DAX measures, calculated columns, KPIs, and time-intelligence calculations.
• Develop reusable Power BI semantic models, datasets, and reporting templates.
• Implement and maintain Row-Level Security and other Power BI security controls.
• Apply performance optimization techniques for reports, datasets, and data models.
• Manage Power BI Service workspaces, deployment pipelines, apps, permissions, and scheduled refreshes.
• Troubleshoot report, gateway, dataset, refresh, and performance issues.
• Promote best practices for Power BI development, deployment, governance, and lifecycle management.
• Data Integration and Modeling
• Work with Snowflake, SQL Server, Databricks, Dataiku, or similar data platforms.
• Design star and snowflake schemas for reporting and analytics solutions.
• Develop ETL and ELT processes using SQL, Power Query/M, and cloud-native data integration tools.
• Integrate data from multiple enterprise sources into governed semantic models.
• Validate data quality, consistency, completeness, and reconciliation.
• Apply data governance, metadata management, and modeling standards.
• Partner with data engineering teams to improve source data structures and downstream analytics performance.
• Stakeholder Collaboration and Production Support
• Gather, analyze, and document business and reporting requirements.
• Translate business requirements into scalable technical and analytical solutions.
• Collaborate with business users, data engineers, architects, and application teams.
• Provide production support for semantic models, reports, dashboards, and data pipelines.
• Perform root cause analysis and implement corrective and preventive actions.
• Participate in code reviews, technical discussions, and best-practice initiatives.
• Contribute to Agile/Scrum ceremonies, sprint planning, backlog refinement, and delivery activities.
• Prepare technical documentation, data dictionaries, solution designs, and support procedures.

Requirements:

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
• 5–10 years of experience in business intelligence, analytics, or data development.
• At least 4 years of hands-on Power BI development experience.
• Strong experience with Cube Dev semantic modeling and YAML configuration.
• Experience developing enterprise semantic layers and analytical data models.
• Experience with GraphQL, MDX, or similar analytical query and semantic-layer technologies.
• Strong expertise in:
• Power BI Desktop and Power BI Service
• DAX
• Power Query/M
• SQL
• Data modeling
• Semantic model development
• Snowflake or a similar cloud data warehouse
• Experience implementing RLS, CLS, role-based access management, and other data security controls.
• Strong understanding of data governance, data quality, and reporting standards.
• Experience with Git and CI/CD deployment processes.
• Strong analytical, troubleshooting, communication, and stakeholder-management skills.

Preferred, but not required:

• Experience with Azure Data Platform services.
• Knowledge of Databricks and Snowflake architecture and development practices.
• Familiarity with Agile/Scrum delivery methodologies.
• Microsoft Power BI certification, preferably PL-300: Power BI Data Analyst Associate.
• Experience supporting finance, risk, regulatory, compliance, or enterprise reporting solutions.
• Experience with Power BI deployment pipelines, gateways, incremental refresh, and large-scale datasets.
• Knowledge of cloud-based data integration, orchestration, and DevOps practices.

We offer:

• A multinational organization with 58 offices in 22 countries and the possibility to work abroad.

• 15 days (3 weeks) of paid annual leave plus an additional 10 days of personal leave (floating days and sick days).

• A comprehensive insurance plan including medical, dental, vision, life insurance, and long-term disability.

• Flexible hybrid policy.

• RRSP with employer’s contribution up to 4%.

• A higher education certification policy.

• On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.

• Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.

• Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms.

• A truly diverse, fun-loving and global work culture.

S​YNECHRON’S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

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