Azure Data Engineer

Join to apply for the Azure Data Engineer role at Four Seasons Hotels and Resorts .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. Location: Toronto Corporate Office, Toronto, Ontario. Hybrid work model – 3 days per week at 20 York Mills Road, Toronto, with travel to the Four Seasons Corporate Office (1165 Leslie Street, Toronto). About the Role 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. 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, aligned with governance framework (IDMC: Data Quality, CDGC, and Reference 360). Support optimization of Azure platform resources (Databricks clusters, storage accounts, networking, and security configurations) for cost efficiency 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 operations. Data Engineering & BI Engineering Design, develop, and maintain robust batch and streaming data pipelines across Azure Data Factory, Databricks, Informatica, and SQL environments. Support development of data pipelines for guest personalization and commercial analytics; assist in creating datasets for KPI monitoring. Utilize CI/CD workflows, Infrastructure as Code (IaC), and automated testing frameworks to ensure compliance with defined SLAs and SLOs. Manage Azure platform resources and network configurations (Databricks clusters, storage accounts, VNETs, private endpoints) for performance, security, and cost optimization. Embed governance standards by adding metadata, cataloging, and lineage practices with the Data Strategy & Governance team. Monitor and tune pipeline performance and Azure cost utilization; identify opportunities for optimization. Support creation of certified datasets and semantic models for Power BI self‑service analytics. 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 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. 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. Ability to manage volume of work and handle global conference calls. Functional Technical expertise in data engineering within Azure and Databricks ecosystems. Excellent team management skills 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; 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, Databricks, 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 experience. Experience working with large data sets. Confluence, Jira, TestRail knowledge. Helpdesk tools and methods familiarity. Microsoft Visio and Office proficiency. 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. Seniority Level Not Applicable Employment Type Full‑time Job Function Information Technology Industries: Travel Arrangements and Hospitality Referrals increase your chances of interviewing at Four Seasons Hotels and Resorts by 2x. #J-18808-Ljbffr