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 requirements, manage agile workflows in Jira and monday.com, and document solutions in Confluence.

• Adhere to architectural frameworks and suggest improvements for platform scalability, performance, and operational.

Data Engineering & BI Engineering

• Design, Develop, and maintain robust batch and streaming data pipelines across Azure Data Factory, Databricks, Informatica, and SQL environments, ensuring scalability, reliability, and operational efficiency.

• Support development of data pipelines for guest personalization and commercial analytics; assist in creating datasets for KPI monitoring and collaborate with commercial stakeholders to understand and fulfill data needs.

• Utilize CI/CD workflows, Infrastructure as Code (IaC), and automated testing frameworks (unit, integration, and data validation) with integrated monitoring and observability to ensure compliance with defined SLAs and SLOs.

• Experience managing Azure platform resources and network configurations (e.g., Databricks clusters, storage accounts, VNETs, private endpoints) to ensure performance, security, and cost optimization.

• Apply governance standards by embedding metadata, cataloging, and lineage practices in collaboration with the Data Strategy & Governance team.

• Monitor and tune pipeline performance and Azure cost utilization; identify opportunities for optimization across compute, storage, and workload scheduling.

• Support the creation of certified datasets and semantic models to enable accurate and trusted Power BI self-service analytics for business stakeholders.

• Collaborate closely with Data Science and Analytics teams to deliver curated, model-ready data assets that comply with privacy and governance policies.

Expected Outcomes

• Reliable and scalable data pipelines delivering consistent SLAs and SLOs.

• Improved operational efficiency through automation, CI/CD, and reusable frameworks.

• Optimized Azure compute and storage spend with measurable performance KPIs.

• Trusted, governed, and certified curated datasets supporting accurate BI and reporting.

Data Architecture and Governance              

• Follow established data architecture and engineering standards to build and maintain data solutions across Azure, Databricks, and Informatica.

• Assist in designing data models and integration patterns that support analytics and forecasting while ensuring compliance with governance and quality practices.

• Embed metadata, lineage, and data quality checks into workflows using tools like Informatica IDQ and Unity Catalog.

• Collaborate with architecture and governance teams to align solutions with enterprise strategy, security, and cloud standards.

• Contribute to documentation and design reviews to ensure performance, maintainability, and adherence to best practices.

Operational and Delivery Responsibilities

• Ensure compliance with enterprise architecture, security, and governance standards for all data initiatives.

• Collaborate among data engineers, architects, analysts, and business teams to align with business strategy and objectives.

• Perform pre- and post-implementation validation to confirm alignment with requirements, data standards, and performance benchmarks.

• Work with internal teams and external partners to ensure high-quality delivery and adherence to contractual obligations.

• Communicate project status, risks, and dependencies clearly to stakeholders, escalating issues when needed.

• Contribute to continuous improvement through feedback loops, retrospectives, and process optimization.

Expected Outcomes

• Consistent application of enterprise data architecture and engineering standards across all initiatives.

• Strong alignment between data solutions and enterprise technology strategy.

• Timely delivery of migration and integration projects meeting business, technical, and governance requirements.

• Improved collaboration and transparency across engineering, business, and governance teams.

• A high-performing team focused on innovation, accountability, and continuous improvement.

• Future-ready, trusted, and performant data assets that enable advanced analytics and AI-driven decision-making.

Who You Are

Behavioral

• Excellent verbal and written communication skills.

• Excellent organizational and time management skills.

• High degree of self-motivation (strong initiative)

• Effective personal persuasion skills.

• Be able to manage volume of work and deal with global conference calls.

Functional

• Technical expertise in data engineering within Azure and Databricks ecosystems.

• Excellent team management member and fostering a high-performance culture.

• Excellent conceptual, analytical, and problem-solving abilities, with sound judgment and decision-making.             

What You Bring

• Minimum 3-5 years’ experience in Data Engineering; with experience in Azure platform using Databricks.

• University or higher degree in Engineering, Mathematics, Information Systems, Computer Science, Technology and/or Data Management or Business Administration with a technical or IT interest.

Key Technical Skills

• Expert in Data Engineering in Microsoft Azure Environment + Toolsets (ADLS, ADF, Synapse, Data Bricks,

• Cosmos DB, FunctionApps, Logic Apps etc)

• Lakehouse experience using Databricks.

• Azure platform administration.

• Data Governance Software experience.

• Microsoft Power BI delivery and support.

• Microsoft Power Suite delivery and support.

• Strong SQL query skills.

• Strong history in Python, C#, Scala, Java, R.

• Data process improvement.

• Working in large data sets.

• Confluence, Jira, TestRail.

• Helpdesk Tools and methods.

• Microsoft Visio and Office.

This role will be a Hybrid working model, which will require 3 days per week at our temporary 20 York Mills Road, Toronto, Ontario location with travel, as needed, to our 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.