Canadian Football League (CFL)
Senior Data Operations Engineer
Canadian Football League (CFL) - Manager
Toronto · ON · Canada · Hybrid
Technology · Technical/Engineering
0
1
hour ago
Position Title: Senior Data Operations Engineer
Department: Business Intelligence
Status: Full-time/Permanent
Location: Toronto, ON (Hybrid)
Department: Business Intelligence
Status: Full-time/Permanent
Location: Toronto, ON (Hybrid)
COMPANY DESCRIPTON:
The Canadian Football League is Canada's home for professional football. With over a century of rich history and nine member teams across the nation, the CFL provides world-class entertainment and excitement to a passionate and dedicated fan base. A season-long journey of unforgettable moments and must-see-TV broadcasts culminates in Canada’s largest single-day sporting event – the Grey Cup, where the newly crowned champions earn the right to hoist the iconic emblem of Canadian football.
The CFL is dedicated to entertaining fans in Canada and abroad. The league pursues that goal through a continuing commitment to modernize and elevate both the game and the business. The CFL is transforming its digital ecosystem and maximizing fan engagement through captivating content, data analytics, personalized marketing, and more.
Just as important as its industry-leading operations, the CFL proudly champions the values on which Canada was built – unity, diversity, inclusion, strength, and service to the community. The league is supportive of all peoples, cultures, and backgrounds, offering a respectful and inclusive working and playing environment, centered on acceptance and understanding. The CFL's successes are measured not only on the field and within its ranks, but also in its unparalleled impact in affecting positive change and bettering Canadian communities and lives.
POSITION SUMMARY:
We are seeking a skilled and passionate Data Operations Engineer with at least 4 years experience. In this role, you will be responsible for designing, building, and maintaining robust, scalable, and efficient data pipelines on AWS infrastructure. You will leverage your expertise in Terraform for infrastructure-as-code, Python for pipeline development to ensure the reliable flow of data across our organization, and SQL for data transformation. You will work closely with the stakeholder groups of marketing and sales to ensure that they have timely, correct, and informative data. The ideal candidate is a problem-solver with a strong technical foundation in data engineering principles, AWS cloud services, and automation.
KEY RESPONSBILITIES:
- Build and optimize ETL/ELT pipelines to ingest, transform, and load data from various sources into and out of our data lake and data warehouse.
- Utilize Python and SQL to develop efficient and scalable pipeline logic.
- Implement data quality checks and monitoring within pipelines to ensure data accuracy and reliability.
- Troubleshoot data flow issues.
- Optimize underperforming pipelines.
- Design, provision, and manage AWS infrastructure for data pipelines using Terraform.
- Automate infrastructure deployments, updates, and scaling using GitHub and Terraform.
- Develop and evolve Snowflake pipelines and data structures.
- Work with various AWS services including (but not limited to): S3, EC2, EMR, Lambda, Step Functions, and RDS.
- Ensure security and compliance best practices are implemented across AWS infrastructure.
- Communicate pipeline status, performance, and any issues to stakeholders.
- Participate in code reviews and contribute to improving data engineering best practices.
- Document pipeline designs, infrastructure configurations, and operational procedures.
- Stay up to date with the latest trends and technologies in data engineering, AWS cloud services, Terraform, and Python.
- Identify opportunities to improve existing pipelines and infrastructure for efficiency, scalability, and reliability.
- Contribute to the development of data engineering standards and best practices within the team.
QUALIFICATIONS & SKILLS:
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 4 or more years of professional experience in data operations, data engineering, or in a similar data-focused role.
- Background must show supporting a specific infrastructure through multiple lifecycles.
- Proven experience designing, building, and maintaining data pipelines for large-scale datasets.
- Strong proficiency with AWS cloud platform and experience with a wide range of AWS data services (e.g., S3, EC2, Lambda, Step Functions, RDS).
- Demonstratable expertise with SQL.
- Solid experience in Python or similar programming for data engineering tasks and pipeline development.
- Experience with Terraform for infrastructure-as-code and automating AWS infrastructure deployments.
- Understanding of data warehousing concepts, ETL/ELT processes, and data modeling principles.
- Experience with data pipeline monitoring, performance tuning, and troubleshooting.
- Familiarity with version control systems.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration skills.
EXPECTED COMPENSATION:
The expected compensation range for this position is $75,000-$90,000, which includes base pay plus bonuses and variable incentive pay, if eligible. This range represents a good faith estimate for this position and should serve simply as a guide. The specific compensation offered may vary based on factors such as candidate experience, skills, budget, location.
The expected compensation range for this position is $75,000-$90,000, which includes base pay plus bonuses and variable incentive pay, if eligible. This range represents a good faith estimate for this position and should serve simply as a guide. The specific compensation offered may vary based on factors such as candidate experience, skills, budget, location.
OTHER CONSIDERATIONS:
Hybrid Model: The incumbent will be required to attend the office in accordance with the CFL Hybrid Work Policy. In addition, you are required to attend meetings and other business events at the office or other venues as business needs dictate.
Work Schedule: Due to the nature of the business, the incumbent must be available and willing to work evenings, weekends and holidays, as required.
Travel: As required.
CONTACT:
To be considered for this opportunity, please submit your cover letter and resume.
The Canadian Football League is an equal opportunity employer, and we are working to create a more diverse and inclusive work environment. We welcome applications from traditionally underrepresented groups such as women, visible minorities, Indigenous peoples, people living with disabilities and people identifying as LGBTQ2S+.
We thank all applicants for their interest, however, only those selected for an interview will be contacted. The CFL may use artificial intelligence to screen, assess, and/or select applicants for an interview.
For additional information on the Canadian Football League, please visit our website at www.cfl.ca.
