Azure Data Engineer

About Four Seasons:

Four Seasons is powered by our people. We are a collective of individuals who crave to become better, to push ourselves to new heights and to treat each other as we wish to be treated in return. Our team members around the world create amazing experiences for our guests, residents, and partners through a commitment to luxury with genuine heart. We know that the best way to enable our people to deliver these exceptional guest experiences is through a world-class employee experience and company culture.         
At Four Seasons, we believe in recognizing a familiar face, welcoming a new one and treating everyone we meet the way we would want to be treated ourselves. Whether you work with us, stay with us, live with us or discover with us, we believe our purpose is to create impressions that will stay with you for a lifetime. It comes from our belief that life is richer when we truly connect to the people and the world around us.

About the location:

Four Seasons Hotels and Resorts is a global, luxury hotel management company. We manage over 120 hotels and resorts and 50 private residences in 47 countries around the world and growing. Central to Four Seasons employee experience and social impact programming is the company’s commitment to supporting cancer research, and the advancement of diversity, inclusion, equality and belonging at Four Seasons corporate offices and properties worldwide. At Four Seasons, we are powered by people and our culture enables everything we do.

Four Seasons Hotels and Resorts is a global, luxury hotel management company. We manage over 130 hotels and resorts and 47 private residences in 47 countries around the world and growing.  At Four Seasons, we are powered by people and our culture enables everything we do.

Central to Four Seasons employee experience and social impact programming is the company’s commitment to supporting cancer research, and the advancement of diversity, inclusion, equality and belonging at Four Seasons corporate offices and properties worldwide. At Four Seasons, we are powered by people and our culture enables everything we do. 

The Azure Data Engineer is a technical leader in our Data & Analytics commercial data engineering team.  Responsibilities include the design, build, optimization, and maintenance of experiments, prototypes and products across Four Seasons Microsoft Azure’s Data Platform including Databricks.

The Azure Data Engineer will play a key role in enabling Four Seasons to unlock actionable insights and business value through modern, innovative technologies across our enterprise data platforms. This role will be responsible for designing and developing data extraction, transformation, and loading (ETL/ELT) processes, including the creation of custom data pipelines.

As a core member of the Data Engineering capability within the IT Delivery team, the engineer will collaborate closely with business stakeholders to define requirements, use cases, and desired outcomes. The engineer will be responsible for building, configuring, securing, migrating, optimizing, and refactoring data platform solutions across Azure, Databricks and Informatica Cloud ecosystems. This includes work across a range of modern data architecture components such as data ingestion, integration, curation, storage, Delta Lake, data warehouse, lakehouses, and data modeling.

The ideal candidate will possess strong communication, analytical, and problem-solving skills, with the ability to collaborate across all levels of the organization. They should be adept at translating business knowledge into scalable and effective technical solutions, with a focus on service excellence and continuous improvement.

This role is based in Four Seasons Hotels and Resorts, Toronto Corporate Office, reporting to the Senior Director, Data Engineering. This role involves interactions with internal executive stakeholders and project sponsors, technical operations and development teams, Four Seasons IT, end-user contracts and product users. Externally, the role will interact with various Four Seasons partners and data solution providers, Microsoft, and source data providers.

Key Activities

Data Engineering

• Design, develop, and test scalable data processing solutions (both batch and streaming) using Microsoft Azure, Databricks, Delta Lake, and Informatica, following best practices for reliability and performance.

• Write optimized, reusable, production-level PySpark, Python & SQL code, and build efficient data integration pipelines using Informatica Cloud.

• Implement dimensional data models to support analytics and reporting and develop tabular models in Power BI Semantic Model and Power BI Desktop/Service for self-serve BI capabilities.

• Integrate enterprise data governance and quality tools—including Informatica IDQ, CDGC, and RDM—across cloud and on-premises systems, including Delta Lake and data warehouse platforms.

• Apply and advocate best development practices for both batch and real-time streaming architectures to ensure scalability and robustness.

• Collaborate cross-functionally to gather requirements, manage work through Jira (including story creation and defect resolution), and document all development efforts in Confluence.

• Identify opportunities for architectural enhancements and recommend solutions to improve the scalability, performance, and maintainability of the data platform.

Desired Skills

• Strong analytical, mathematical, and creative problem-solving abilities, with the capability to apply logical steps for troubleshooting and testing.

• Excellent interpersonal, written, and verbal communication skills, paired with effective listening and a high level of customer service orientation.

• Self-motivated, proactive, and capable of exercising independent judgment, while remaining focused and efficient under pressure.

• Highly detail-oriented and process-driven, with strong organizational skills and the ability to manage multiple unrelated projects and competing priorities simultaneously.

• Proven experience working in collaborative, team-oriented environments, with the ability to lead technical teams through outages and technical challenges.

• Demonstrated capability to translate business needs into data requirements, provide training and helpdesk support, and engage in roles such as analyst and tester as needed.

• Strong time and task management skills, with the ability to plan, prioritize, and manage resources effectively while maintaining a service-first mindset.

Technical Skills

• Proficient in Microsoft Azure data engineering ecosystem, including ADF, Synapse Analytics, Databricks, Azure Analysis Services (AAS), Cosmos DB, Function Apps, and Logic Apps

• Expertise in SQL and strong understanding of core data warehousing concepts and architecture

• Hands-on experience with Informatica data integration tools including PowerCenter, IICS, and IDMC

• Advanced programming skills in Python, Scala, PySpark, and Spark SQL for data processing and transformation

• Experience in building and supporting Power BI reports and Microsoft Power Platform solutions

• Proficient with DevOps practices using GitHub and Azure DevOps for CI/CD and version control

• Skilled in handling large-scale datasets and optimizing data processing pipelines

• Comfortable with process improvement, documentation, and collaboration tools such as Confluence and Jira

• Working knowledge of technical design and helpdesk support tools including Microsoft Visio, Visual Studio, Lucidchart, and Draw.io

Experience, Education and Professional Qualifications

• University or higher degree in Engineering, Mathematics, Information Systems, Computer Science or Technology

• Completion of Databricks Associate Spark Developer or Databricks Associate Data Engineer or Databricks Professional Data Engineer Certification

• Completion of Azure Fundamentals and Azure Data Engineer Certifications

• 5+ years of IT industry experience with the data related projects.

• Minimum 4+ years of experience in ETL development, data modeling, Datawarehouse design and development, data migration related projects.

• Very good understanding of data warehousing concepts, data modeling concepts, performance improvement

• 2-3 years’ experience in Data Engineering, Visualization and Analytics in Azure environments using Azure Databricks, Informatica, Delta Lake, Azure Data Lake, Synapse Analytics, Azure Data Factory, Function Apps, Analysis Services and Power BI

• Desired to have 2-3 years’ experience in AI/ML projects and implementations

This role will be a Hybrid working model, which will require 3 days per week in the Four Seasons Corporate Office located at 1165 Leslie Street, Toronto, Ontario #LI-Hybrid 

Four Seasons is committed to providing employment accommodation in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. If contacted for an employment opportunity, please advise Human Resources if you require accommodation.