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.

The Azure Data Engineer will serve as a technical engineer within Four Seasons Technology Innovation and Data (TID) Department, driving the design, build, and optimization of data solutions across our Microsoft Azure Data Platform, including Databricks. This role is critical in enabling the organization to unlock actionable insights and deliver business value through modern, cloud-native technologies.

Reporting to the Manager, Data Engineering, this role focused on building, migrating, and optimizing data pipelines, models, and integrations within Four Seasons’ Azure Databricks Lakehouse environment. The data engineer ensures these solutions are reliable, performant, and aligned with enterprise architecture, governance, and analytics readiness standards.

As a core member of the Data Engineering capability within the TID 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.

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 position is based in Four Seasons Hotels and Resorts, Toronto Corporate Office, reporting to the Senior Director, Hotel Systems. This role involves interactions with primarily internal stakeholders at various levels.
** What You’ll Be Doing
**** Key Responsibilities
*** Design and implement scalable batch and streaming data solutions using Azure, Databricks, Delta Lake, and Informatica, ensuring reliability, performance, and best practices.
* Develop and optimize production-grade PySpark, Python, and SQL code.
* Develop resilient data integration pipelines using Informatica Cloud, seamlessly aligned with the governance framework (IDMC: Data Quality, CDGC, and Reference 360).
* Support optimizing the Azure platform resources (Databricks clusters, storage accounts, networking, and security configurations) to ensure cost efficiency, performance, and compliance.
* Partner with commercial, personalization and other teams to understand requirements and build curated datasets and integrations.
* Work with Data Architect and DE lead to model and maintain dimensional data structures for analytics and reporting.
* Collaborate cross-functionally to gather…