Senior Data Solutions Consultant

Posted 7 Days Ago
Be an Early Applicant
Toronto, ON, CAN
Hybrid
90K-105K Annually
Senior level
Marketing Tech
The Role
Design and optimize scalable ETL pipelines and enterprise data warehouse solutions to support omnichannel analytics and AI products. Collaborate with analysts, engineers, project managers, and clients to gather requirements, deliver BI dashboards and integrations (Power BI, Fabric, Tableau), ensure data quality, and standardize engineering practices including Git, documentation, and reusable code.
Summary Generated by Built In
Company Description

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.

Desired:

  • 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 at Klick. The base salary range for this position is between CAD $90,000 - $105,000. The final amount offered will be determined based on several factors such as a candidate's work location, their unique skill set, education, and prior work experience.

#LI-TH1 #LI-Hybrid

Our Commitment to Inclusion

Klick is consciously creating a culture where everyone can thrive and grow in their careers. We believe that our best work comes from our diverse backgrounds, perspectives, and skills. We strongly encourage members of historically underrepresented communities to apply, including Black people, Indigenous peoples, and other people of color, people with disabilities, people from gender and sexually diverse communities and people with intersectional identities. We're also committed to developing an inclusive, barrier-free recruitment process and work environment. Should you require any accommodation, please contact us at [email protected] and we will work with you to meet your accessibility needs and ensure you have a positive experience.

Skills Required

  • 4-5 years hands-on experience developing scalable data solutions
  • At least 2 years designing and supporting ETL pipelines for analytics and reporting
  • 2+ years professional experience using Python and SQL to build and maintain production-ready data pipelines and data models
  • Experience working with clickstream datasets and enterprise data lakes
  • Experience with modern cloud data warehouse platforms (preferably Snowflake)
  • Experience gathering technical requirements and translating business needs into production-ready data solutions
  • Experience developing business intelligence solutions using Power BI, Microsoft Fabric, Tableau, or comparable platforms
  • Experience implementing Git-based development workflows, documentation standards, and reusable engineering practices
  • Comfort and enthusiasm for using AI as a regular part of work
  • Experience supporting healthcare, pharmaceutical, or life sciences data, analytics, or omnichannel marketing initiatives
  • Experience designing relational database structures, dimensional models, and enterprise data architecture
  • Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or related technical discipline
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The Company
HQ: Toronto
1,408 Employees
Year Founded: 1997

What We Do

Klick is over 1000 people passionate about life sciences, dedicated to doing things differently. Since 1997, we’ve been a commercial partner laser focused on developing, launching, and supporting life sciences brands to maximize their full market potential.

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