Senior Data Solutions Consultant
- Employment type
- Full-time · On-site
- Posted
- September 29, 2026
- Province
- Ontario (ON)
Hiring confidence: Sparse posting · 22/100
This posting is missing most of the signals we look for, or shows patterns common to listings that are not actively being filled. Check with the employer before applying. How this is scored
Job Overview
This role is based in Ontario. Klick Health is hiring for this full-time position through Jobily, where you can check how well your resume matches the posting before you apply.
Market context
About this role in Ontario
Average salary for Senior Data Solutions Consultant in Ontario
We do not have a salary benchmark for this title in Ontario yet. The posting does not state a salary either.
NOC code
This posting has not been matched to a NOC 2021 unit group yet. Use the NOC finder to identify the code from the duties listed above.
Typical qualifications for Canadian employers
- Extensive experience designing and building data solutions
- Strong expertise in cloud data platforms
- Proficiency in SQL and programming languages
- Experience with data pipeline and ETL tools
- Knowledge of data modeling and data warehouse architecture
Fit check
Is this role right for you?
Top skills this posting asks for:
- Data architecture design
- Data pipeline development
- SQL
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What you'll do
- Partner with cross-functional teams to design data solutions
- Build and optimize scalable data architectures
- Collaborate with analytics, engineering, and project management teams
- Transform complex datasets into production-ready data assets
- Support omnichannel marketing and AI-enabled products
- Work with client stakeholders to understand requirements
- Ensure data reliability and quality
- Drive measurable business outcomes through data solutions
- Optimize data performance and efficiency
What you'll need
- Extensive experience designing and building data solutions
- Strong expertise in cloud data platforms
- Proficiency in SQL and programming languages
- Experience with data pipeline and ETL tools
- Knowledge of data modeling and data warehouse architecture
- Understanding of omnichannel marketing and analytics
- Experience in life sciences or regulated industries (preferred)
- Ability to work with complex datasets
- Strong communication and stakeholder management skills