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,…