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Senior Data Solutions Consultant

Job in Toronto, Ontario, C6A, Canada
Listing for: Klick
Full Time position
Listed on 2026-08-06
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst, Data Warehousing, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 90000 CAD Yearly CAD 90000.00 YEAR
Job Description & How to Apply Below
The Klick Group —comprising Klick Health (including Klick Katalyst and btwelve), Klick Media Group, Klick Applied Sciences (including Klick Labs), Klick Consulting, and Klick Ventures is an ecosystem dedicated to realizing the full potential of our people and clients in life sciences. Founded in 1997, we have offices in New York, Philadelphia, Saratoga Springs, Toronto, London, São Paulo, and Singapore.

Consistently named a Best Managed Company, Most Admired Corporate Culture, and Great Place to Work, Klick is committed to fostering a high‑performance, people‑first culture with creativity, collaboration, innovation, and impact across everything we do.
About Our Omnichannel Enablement Craft
Our Omnichannel Enablement Craft connects channels, data, and technology into unified experiences. The team ensures audiences encounter consistent, coordinated messaging across touchpoints. By aligning media and platforms, they support seamless journeys. Their work enhances effectiveness and measurement across the ecosystem.

Job Description  The Senior Data Solutions Consultant partners with cross-functional teams to design, build, and optimize scalable data solutions that support omnichannel marketing, analytics, and AI-enabled products for life sciences clients. This role collaborates closely with analytics, engineering, project management, and client stakeholders to transform complex datasets into reliable, production-ready data assets that drive measurable business outcomes. Success in this role requires expertise in Python, SQL, ETL development, enterprise data platforms, and modern business intelligence technologies.
What You’ll Do   Design, develop, and optimize scalable ETL pipelines using Python and SQL to support analytics, reporting, AI solutions, and client deliverables.
Develop, maintain, and optimize enterprise data warehouse solutions, preferably in Snowflake, while ensuring data quality, reliability, scalability, and performance.
Collaborate with data analysts, project managers, business analysts, and client stakeholders to gather technical requirements, define solution architecture, and deliver measurable business outcomes.
Build analytics products including business intelligence dashboards, system integrations, data outputs, presentations, and AI-enabled solutions using platforms such as Power BI, Microsoft Fabric, and Tableau.
Standardize and improve engineering practices through reusable code, Git version control, documentation, SOP development, and scalable data engineering processes that support operational excellence.
Qualifications

Required:

4–5 years of hands‑on experience developing scalable data solutions, including at least 2 years designing and supporting ETL pipelines for analytics and reporting.
2+ years of professional experience using Python and SQL to build, optimize, and maintain production‑ready data pipelines and data models.
Experience working with clickstream datasets, enterprise data lakes, and modern cloud data warehouse platforms, preferably Snowflake, supporting analytics or marketing use cases.
Experience gathering technical requirements from business stakeholders and clients, translating business needs into production‑ready data solutions and measurable deliverables.
Experience developing business intelligence solutions using Power BI, Microsoft Fabric, Tableau, or comparable visualization platforms, with examples of dashboards or reporting solutions delivered.
Comfort and enthusiasm for using AI as a regular part of how work gets done.
Experience supporting healthcare, pharmaceutical, or life sciences data, analytics, or omnichannel marketing initiatives.
Experience designing relational database structures, dimensional models, and enterprise data architecture supporting scalable analytics platforms.
Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or a related technical discipline.
Experience implementing Git-based development workflows, documentation standards, and reusable engineering practices across collaborative technical teams.
Additional Information  This posting is for an existing vacancy  base salary range for this position is between  CAD…
Position Requirements
10+ Years work experience
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