Sr. Data Engineer

cineplex; Toronto; Hybrid; CAD 110,000 - 150,000; Full time

Job summary

Cineplex in Toronto is seeking an experienced Senior Data Engineer to design and deliver data products powering analytics, segmentation, personalization, and AI-driven insights.

You will own Customer360 and related platforms, building scalable data pipelines and governance practices while collaborating with Analytics, Marketing, Privacy, and Legal teams. This role blends hands-on engineering with technical leadership in a hybrid office setting.

Qualifications

• 6+ years of data engineering or data architecture experience.
• Experience delivering on Azure Databricks or similar Spark lakehouse.
• Strong SQL, Python, PySpark skills and data modeling.
• Experience with data governance, security, and compliance.
• Databricks or Azure Data Engineer certification asset.

Responsibilities

• Own and evolve Customer360 and related data products.
• Design scalable batch and near real-time pipelines.
• Collaborate with analytics, marketing, and product teams.
• Lead architecture reviews and mentor engineers.

Skills

Spark

PySpark

Python

SQL

Delta Lake

CI/CD

Git

Azure Databricks

Azure DevOps

DBT

Education

Degree or diploma in Computer Science / Software Engineering / Information Systems

Tools

Azure Databricks

Azure Data Factory

dbt

Git

Azure DevOps

CI/CD

Job description

What you will do:

Job Summary

Reporting to the Director, Data Engineering, the Senior Data Engineer will play a key role in designing and delivering the data products that power customer analytics, audience segmentation, personalization, marketing activation, and AI-driven decision-making.

In this role, you will own and evolve critical customer data platforms and products, including Customer360, Audience360, Braze integrations, and our Databricks Customer Lake. You will work closely with teams across Analytics, Marketing, Media, Technology, Privacy, and Legal to transform complex business needs into scalable, secure, and high-performance data solutions.

This is an opportunity for a hands-on technical leader who enjoys building modern data products from the ground up while driving operational excellence and continuous improvement. Beyond the Customer Intelligence domain, you will also contribute to broader enterprise data initiatives and help shape the future of Cineplex's data platform ecosystem.

This is a hybrid position (3 days in the office per week). Office location is 1303 Yonge Street, Toronto.

Key Responsibilities

Customer Intelligence Platform & Data Product Ownership

• Serve as the technical lead and owner for Customer360, driving roadmap planning, architecture, delivery, support, and ongoing enhancements.
• Design and maintain customer data products that bring together identity, preferences, consent, transaction, engagement, and behavioral data.
• Collaborate with business and technology stakeholders to prioritize initiatives, define requirements, and deliver measurable business value.
• Advance our customer intelligence capabilities, including audience segmentation, personalization, activation, and AI-enabled insights.

Enterprise Data Engineering & Architecture

• Design, build, test, and optimize scalable batch and near real-time data pipelines using Azure Databricks, Spark, PySpark, Python, SQL, Delta Lake, Azure Data Factory, and dbt.
• Build trusted, production-ready data products using modern lakehouse architecture and best practices.
• Develop reusable frameworks, components, and integration patterns that improve engineering efficiency and scalability.
• Create robust analytical and dimensional data models that support reporting, self-service analytics, machine learning, and AI use cases.

Audience Segmentation & Activation

• Own and support data integrations between Databricks, Braze, and other customer engagement platforms.
• Design reliable and secure pipelines that enable audience activation across marketing, advertising, personalization, and media channels.
• Implement scalable integration patterns including API connectivity, incremental processing, schema evolution, monitoring, and data reconciliation.
• Partner with Marketing and Media teams to enable audience creation, campaign activation, measurement, and future Marketing360 capabilities.

Reliability, Governance & Optimization

• Ensure the reliability and performance of customer data products through monitoring, alerting, data quality controls, incident management, and continuous improvement practices.
• Implement and support data governance standards using Unity Catalog, including access controls, lineage, auditing, and data ownership.
• Ensure customer data solutions meet privacy, security, consent, and regulatory requirements.
• Continuously optimize Databricks workloads and infrastructure to improve performance, scalability, and cost efficiency.

Technical Leadership & Collaboration

• Lead architecture discussions, design reviews, code reviews, and technical problem-solving across the Data Engineering team.
• Mentor team members and champion engineering best practices across coding, testing, CI/CD, governance, and support.
• Support and provide coverage across Cineplex's broader data ecosystem, including Customer360, Media360, Operations360, and shared data platforms.
• Identify and proactively manage technical, operational, quality, security, and delivery risks

Requirements

• Degree or diploma in Computer Science, Software Engineering, Information Systems, Data Analytics, or a related field, or equivalent practical experience.
• Databricks Data Engineer and/or Microsoft Azure Data Engineer certification is considered an asset.
• 6+ years of experience in data engineering, data platform engineering, or data architecture, including ownership of production data solutions.
• 3+ years of hands-on experience delivering solutions on Azure Databricks or a similar Spark-based lakehouse platform.
• Strong expertise in SQL, Python, PySpark, Apache Spark, Delta Lake, data modelling, and modern ETL/ELT development practices.
• Hands-on experience with Azure Databricks, Azure Data Factory, dbt, Git, Azure DevOps, CI/CD pipelines, automated testing, and production deployments.
• Experience building scalable, governed data products and pipelines, with a strong understanding of data quality, lineage, security, performance optimization, and operational support.
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