Manager, Data Engineering at CI Financial

Job Description:

Latest job information from CI Financial for the position of Manager, Data Engineering. If the Manager, Data Engineering vacancy in Toronto matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.

Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at CI Financial for the position of Manager, Data Engineering below matches your qualifications.

At CI, we see a great place to work as one that is a safe place for everyone to have a voice, where people are empowered to take ownership over meaningful work, where there is an opportunity to grow through stretching themselves, where they can work on innovative products and projects, and where employees are supported and engaged in doing so.

CI Financial is looking for an innovative leader to join our Data, AI & Analytics (DNA) team as the Manager of Data Engineering (Delivery). In this managerial role within the DNA team, you will oversee & perform the design, development, and optimization of scalable data pipelines and data models that enable seamless, reliable data flow and consumption across a variety of systems. Your work will support business objectives and empower data-driven decision-making. You will support the continuous advancement of our data engineering delivery practices, ensure data integrity, availability, and security, while promote strong collaboration across CI Global Asset Management.

KEY RESPONSIBILITIES:

Leadership & Strategy:

• Manage and lead a team of data engineers to deliver high-quality data solutions.
• Take ownership of project/initiative delivery, including planning, development, testing, and deployment, while working closely with cross-functional teams to ensure successful and timely outcomes.

Data Engineering:

• Design, development, and optimization of scalable data pipelines, data models to enable reliable data movement & consumption across diverse systems.
• Champion best practices in code quality and data architecture within the team.
• Develop and enhance data ingestion, transformation, and validation frameworks to improve productivity and ensure high data accuracy.
• Drive continuous improvements in platform architecture and CI/CD practices.

Collaboration & Communication:

• Collaborate closely with business analysts, product owners and business stakeholders to translate complex business problems into technical solutions.

Performance Optimization & Scalability:

• Troubleshoot and resolve production issues, including performance bottlenecks, data quality problems, and system failures; proactively identify recurring issues and optimize existing processes for reliability and efficiency.
• Drive continuous improvement of data platforms through automation, optimization, and monitoring.

Qualifications:

• 7+ years of hands-on experience in data engineering including 1-2 years of proven experience in managing high-performing data engineering or technology teams.
• Expertise in architecting and building scalable data platforms, ETL/ELT pipelines, and data integration solutions.
• Solid understanding of data warehousing concept and data architecture (Kimball and/or Data Vault 2.0 methodologies)
• Proficiency in languages like SQL and Python and experience with Snowflake or similar data platforms.
• Strong project management skills with experience leading data engineering projects, including defining project scope, timelines, and deliverables, and managing project risks.
• Ability to navigate between technical and business audiences.
• Exceptional problem-solving abilities with proven record of tackling complex data challenges and delivering practical, impactful solutions.
• Experience with DevOps practices, including CI/CD pipelines and automated deployment/testing frameworks.

Preferred Qualifications:

• Knowledge of asset management, financial services, or wealth management industries

WHAT WE OFFER

• Modern HQ location within walking distance from Union Station.
• Equipment Purchase Program.
• Training Reimbursement.
• Paid Professional Designations.
• Employee Share Purchase Program (ESPP).
• Corporate Discount Program.
• Enhanced group benefits.
• Parental Leave Top-up program.
• Fitness membership discounts.
• Volunteer paid Days.

We are focused on building a diverse and inclusive workforce. If you are excited about this role and are not confident you meet all the qualification requirements, we encourage you to apply to investigate the opportunity further.

Please submit your resume in confidence by clicking "Apply". Only qualified candidates selected for an interview will be contacted. CI Financial Corp. and all of our affiliates ("CI") are committed to fair and accessible employment practices and provide reasonable accommodations for persons with disabilities. If you require accommodations in order to apply for any job opportunities, require this posting in an additional format, or require accommodation at any stage of the recruitment process please contact us at , or call ext. 4747.

Job Info:

• Company: CI Financial
• Position: Manager, Data Engineering
• Work Location: Toronto
• Country: CA

How to Submit an Application:

After reading and understanding the criteria and minimum qualification requirements explained in the job information Manager, Data Engineering at the office Toronto above, immediately complete the job application files such as a job application letter, CV, photocopy of diploma, transcript, and other supplements as explained above. Submit via the Next Page link below.