Senior Data Engineer

We are looking for a collaborative and resourceful Senior Data Engineer and will be responsible for leading the architecture, design, analysis, and implementation within a successful and experienced team. You'll apply your depth of knowledge and expertise across modern and legacy data platforms to develop data ecosystems that meet business requirements and align with enterprise architecture goals and standards. The organization has embarked on a journey to modernize, build, and support a next generation Snowflake based data platform to meet growing data needs and enable AI and GenAI capabilities that drive business value.
We embrace a culture of challenging the status quo and continuously simplifying processes, technology, and workflows.
This role reports to the Senior Data Engineering Manager.
Location - Markham (Hybrid - 3 days office) subject to change at any time.

As a Senior Data Engineer, you will play a pivotal role in designing, developing, and delivering scalable data solutions across the enterprise:
• Advocate for engineering standards and process efficiencies to ensure high quality, timely delivery.
• Lead development of complex, high performance data pipelines using tools like dbt Core/Cloud.
• Design and review data models (conceptual, logical, physical) to meet business and technical requirements.
• Own and maintain robust, reusable SQL, Python, Shell, and Terraform code.
• Produce detailed low level engineering solution design documents aligned with technical standards.
• Create and review data test plans to ensure alignment with requirements.
• Promote the importance of data catalogs, data governance, and data quality practices.
• Conduct root cause analysis and implement effective solutions for technical data issues.
• Lead scrum ceremonies and foster an agile mindset.
• Mentor Data Engineers and Associate Data Engineers to elevate engineering practices.
• Collaborate cross functionally to deliver high quality, customer centric data products.
• Deliver technical presentations and provide constructive feedback on designs.
• Plan and execute release activities to ensure smooth, high performance delivery.
• Support hiring by designing interview challenges, conducting interviews, and participating in selection decisions.

• 8+ years of experience in data engineering with proven delivery of 3+ end to end impactful data projects.
• Deep expertise with relational databases (Snowflake, PostgreSQL, Amazon Aurora), big data platforms (Hadoop), and NoSQL (MongoDB).
• Advanced proficiency with visualization tools such as Snowsight, Streamlit, Qlik, and SAP BusinessObjects.
• Expert level skills in SQL, Python, Glue, dbt, Shell, and Terraform, with a focus on maintainability and performance.
• Experience with orchestration and pipeline tools including Zena and AWS Managed Airflow.
• Strong resilience and adaptability in ambiguous or high pressure environments.
• A customer first, data driven mindset.
• Strong collaboration, communication, leadership, and stakeholder influencing abilities.
• Insurance domain knowledge is an asset.
• Experience operationalizing AI/ML models is an asset.
• Nice to have certifications:
o SnowPro Core
o SnowPro Advanced: Data Engineer (DEA C01 or DEA C02)
o dbt Developer
o AWS Cloud Practitioner
**CGI is providing a reasonable estimate of the pay range for this role. The determination of this range includes factors such as skill set level, geographic market, experience and training, and licenses and certifications. Compensation decisions depend on the facts and circumstances of each case. A reasonable estimate of the current range is $115,000–$165,000. This role is an existing vacancy.
#LI-BN

Use of the term 'engineering' in this job posting refers to the technical sense related to Information Technology (IT) and does not imply that the individual practices engineering or possesses the requisite license as prescribed by the applicable provincial or territorial engineering regulator. We are seeking individuals with expertise in IT engineering-related functions, but licensure from an engineering regulator is not a prerequisite for this position. Engineering is a regulated profession in Canada which is restricted in terms of use of titles and designation.

• Code Review
• Code Review
• Database Design
• Performance/Stress Testing
• Software Architecture
• Software Design Patterns
• Financial Services
• Python

Together, as owners, let's turn meaningful insights into action.
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because…
You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction.
Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
At CGI, we value the strength that diversity brings and are committed to fostering a workplace where everyone belongs. We collaborate with our clients to build more inclusive communities and empower all CGI partners to thrive. As an equal-opportunity employer, being able to perform your best during the recruitment process is important to us. If you require an accommodation, please inform your recruiter.
To learn more about accessibility at CGI, contact us via email. Please note that this email is strictly for accessibility requests and cannot be used for application status inquiries.
Come join our team—one of the largest IT and business consulting services firms in the world.