Sr. Manager, Data Engineering

What you will do:

Job Summary

As the Sr. Manager, Data Engineering, you will have the opportunity to shape and scale the data foundations that power analytics, insights, and innovation across the business. You will lead a team of Data Engineers, partnering closely with stakeholders across Data Science, Analytics, and Technology to transform business needs into high-impact, production-ready data solutions. In this role, you will champion engineering excellence, establish best practices across the development lifecycle, and help build reliable, reusable data products that drive meaningful business outcomes.

Key Responsibilities

Data Engineering Delivery  

• Lead the design and development of scalable data pipelines, integrations, transformations and reusable data products on the enterprise data platform 

• Manage delivery plans, dependencies, technical risks, and commitments across the Data Engineering portfolio 

• Ensure solutions meet business, analytics, security and data management requirements 

Development-to-Production Readiness  

• Ensure solutions meet testing, performance, documentation, monitoring and operational-readiness requirements before release 

• Support resolution of production defects that require engineering changes and ensure lessons are incorporated into development standards 

Solution Design & Cross-Functional Delivery  

• Partner with Data Science, BI & Insights, Data Platforms, and business teams to translate requirements into sustainable technical solutions 

• Resolve technical dependencies and communicate delivery options, risks and trade-offs 

• Lead change management and adoption of productionalized enterprise data products across the organization 

Engineering Standards & Architecture  

• Establish development standards covering code quality, testing, reusable frameworks, documentation, source control and CI/CD  

• Guide technical design decisions and promote maintainable, scalable engineering patterns 

• Drive continuous improvement in developer productivity and delivery quality 

Team Leadership & Development  

• Lead Data Engineers, manage capacity and delivery commitments, and provide technical coaching 

• Support performance management, hiring, onboarding, succession, and career development 

• Upskill team with leveraging AI & agentic solutions to expedite Data Engineering workflows

Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems or another relevant discipline, or equivalent practical experience 
• Databricks, Azure or related data engineering certification
• 8+ years of experience in data engineering, software engineering, or a related field
• 3+ years of experience with technical or people leadership
• Proven experience building and deploying production-scale data pipelines and data products using modern cloud technologies
• Strong SQL and Python development skills, with the ability to design scalable, maintainable solutions
• Hands-on experience with Databricks, Apache Spark, and Microsoft Azure services
• Strong knowledge of data architecture, data modelling, enterprise integration patterns, and both batch and streaming data processing
• Experience developing and supporting APIs, enterprise integrations, and large-scale data platforms
• Solid understanding of software engineering best practices, including source control, code reviews, automated testing, CI/CD, and release management
• Experience implementing data quality, lineage, observability, performance optimization, and cloud cost management practices
• Experience working in Agile environments, including estimation, prioritization, and delivery planning
• Passion for continuous improvement and leveraging AI-powered and agentic capabilities to enhance data engineering workflows

Inclusion & Diversity

Cineplex, its subsidiaries, and affiliates are equal opportunity employers with a commitment to hiring and retaining a diverse workforce. We encourage and welcome applications from all intersectional walks of life. The collective sum of our individual differences, experiences, knowledge, innovation, self-expression, unique capabilities, and talent represents a significant part of our culture. By valuing a diverse workforce, we enforce hiring practices that are fair and equitable. 

Accessibility

We are committed to improving access and opportunities for all individuals, including those with disabilities by identifying and removing barriers that may prevent, inhibit, or restrict their access to employment opportunities. If you require accommodation at any stage of our hiring process (application, interviews, assessments, and placement), please contact us at 416-323-6600 or via email at [email protected].

Use of AI

We use AI-assisted tools to help us review applications and support parts of the recruitment process. However, every application is reviewed by our HR team, and all hiring decisions are made by our people, not by AI.

This position is a current vacancy and is being actively recruited to fill an existing role within the organization.

While we appreciate all interest, only those candidates selected for an interview will be contacted. 

Wage ($):