About the Role & TeamAs a Staff Data Engineer, you'll partner closely with Data Services, Analytics Engineering, Product, and Business stakeholders to design and deliver scalable, reliable, and high-quality data solutions. You will play a key technical leadership role, helping shape the architecture, standards, and future direction of our data platform. The ideal candidate combines deep technical expertise with strong communication skills, a passion for data, and an interest in sports, gaming, and digital products.
About the Work As a key member of our team, you will:
- Collaborate with business stakeholders to identify and prioritize data-driven opportunities and initiatives.
- Design, build, and maintain scalable data pipelines supporting analytics, reporting, product, and operational use cases.
- Develop, test, and optimize dbt models following data modeling best practices.
- Manage and support orchestration platforms including Airflow and exposure to Dagster.
- Design and implement dimensional, semantic, and analytical data models to support self-service analytics and business intelligence.
- Drive data architecture decisions and establish engineering standards and best practices across the organization.
- Partner with data engineers and platform teams to improve the reliability, scalability, and performance of our data ecosystem.
- Develop and maintain data quality frameworks, testing strategies, and observability solutions to ensure trusted data assets.
- Support governance initiatives through documentation, metadata management, lineage, and data ownership practices.
- Complete complex analyses and provide actionable recommendations to business stakeholders.
- Oversee team analysis to ensure data accuracy, consistency, and business relevance.
- Champion adoption of data exploration and self-service analytics tools across the organization.
- Lead technical design reviews and provide mentorship through code reviews, architectural guidance, and knowledge sharing.
- Support data engineer hiring, onboarding, mentoring, and continued professional development.
- Participate in incident response, root cause analysis, and continuous improvement initiatives for critical data platform issues.
- Other duties as required.
About the You - Bachelor's degree in Computer Science, Data Engineering, Statistics, Information Systems, Business, or a related field.
- 8+ years of experience in data engineering, analytics engineering, or a related discipline.
- Hands-on expertise with BigQuery, dbt, Airflow, Python, SQL, and modern cloud data platforms.
- Strong understanding of data warehousing concepts, ETL/ELT design patterns, and dimensional modeling.
- Experience building and optimizing scalable data transformation pipelines in cloud environments.
- Experience working with Google Cloud Platform services such as BigQuery, Cloud Storage, Pub/Sub, and Cloud Composer.
- Exposure to Azure data platforms and services is a plus.
- Proficiency with Git-based development workflows, CI/CD pipelines, and software engineering best practices.
- Experience implementing automated testing, monitoring, and data observability solutions.
- Experience with data visualization and exploration tools such as Looker, Mode,Tableau, or similar platforms.
- Excellent communication and stakeholder management skills, with the ability to translate business requirements into scalable technical solutions.
- Proven ability to lead complex projects and influence technical direction across multiple teams.
What We Offer - Competitive compensation package
- Fun, relaxed work environment
- Education and conference reimbursements.
- Opportunities for career progression and mentoring others
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Salary Range
$160,000-$205,000 CAD
