Job Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Manager in Canada.

This role offers a unique opportunity to lead high-impact data initiatives while bridging business strategy and technical execution. You will manage complex client engagements, designing and delivering scalable data solutions that drive AI, analytics, and business transformation. Acting as both a strategic advisor and hands-on technical leader, you will influence C-level stakeholders, mentor consulting teams, and shape data practices across projects. This position requires balancing innovation with operational excellence, managing cross-functional teams, and ensuring that data architectures meet the highest standards of quality, governance, and compliance. Ideal candidates thrive in collaborative, fast-paced environments, enjoy solving complex problems, and are passionate about enabling organizations to unlock the full value of their data.

Accountabilities:

• Lead data engineering, analytics, and digital transformation projects from strategy through implementation
• Advise senior and C-level stakeholders on data strategy, governance, architecture, and technology adoption
• Architect and deploy enterprise-scale data platforms, pipelines, and cloud-native solutions (Azure, AWS, Snowflake, Databricks, etc.)
• Oversee ETL/ELT processes, data integration, and data quality frameworks for complex organizations
• Translate business objectives into actionable technical roadmaps balancing scalability, innovation, and operational efficiency
• Mentor and develop technical teams and consultants, fostering a culture of excellence and continuous learning
• Contribute to business development through proposals, client pitches, and thought leadership initiatives
• Stay current with emerging technologies and industry trends in data engineering, AI/ML, and cloud platforms

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field, or equivalent experience
• 8+ years in data engineering, architecture, or analytics consulting, including at least 2 years in a leadership/management role
• Proven success in client-facing consulting engagements and ability to communicate effectively with senior stakeholders
• Hands-on expertise in Python, SQL, Spark, Databricks, and modern data engineering tools
• Experience with cloud platforms such as Azure, AWS, GCP, and Snowflake
• Strong knowledge of data modeling, governance, quality, and regulatory compliance (e.g., GDPR, IFRS17)
• Track record of enabling analytics, BI, and AI/ML initiatives in complex environments
• Excellent problem-solving, analytical, communication, and leadership skills
• Relevant certifications (AWS Certified Data Analytics, Azure Data Engineer, Databricks, Snowflake) are a plus
• Ability to travel based on project/client needs

Benefits:

• Participation in corporate bonus program (approx. 15% of base for achieving baseline targets)
• Retirement plan contributions (RRSP matching up to 4% of base salary)
• Paid vacation (3–4 weeks depending on level) and public holidays
• Sick leave and personal training days for professional development
• Company-provided laptop and phone, plus support for ergonomic work-from-home setup
• Comprehensive health benefits including supplemental OHIP coverage
• Exposure to global projects, diverse teams, and opportunities for skill growth

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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