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 130 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.
Senior Data Engineer
The Senior Data Engineer is responsible for executing the strategy and technical direction established by the Director of Data Engineering – Data Foundations to deliver robust, scalable, and governed data solutions that support Four Seasons’ finance and enterprise data initiatives.
Reporting to the Director, Data Engineering – Data Foundations, this role leads a team of engineers focused on building, migrating, and optimizing finance-related data pipelines, models, and integrations within Four Seasons’ Azure Databricks Lakehouse environment. The manager ensures these solutions are reliable, performant, and aligned with enterprise architecture, governance, and analytics readiness standards.
This role plays a hands-on leadership function, driving the migration of legacy finance data systems into the modern Lakehouse platform, ensuring seamless integration with enterprise data assets, and supporting downstream consumption for reporting, planning, and AI-driven insights. The manager will operationalize reusable frameworks, standardize finance data models, and ensure compliance with data governance and security practices.
The ideal candidate combines strong technical depth in Azure, Databricks, and data engineering frameworks with proven experience managing cross-functional projects in collaboration with Finance, Enterprise Architecture, Data Governance, and Analytics COE teams.
Key responsibilities include:
- Leading the delivery of finance domain data migration projects with clear milestones, quality controls, and operational readiness.
- Designing and maintaining reusable data ingestion and transformation frameworks aligned with enterprise engineering standards.
- Ensuring data consistency, lineage, and trustworthiness across finance and enterprise data domains.
- Collaborating with business and technical stakeholders to enable analytics, forecasting, and AI readiness for finance data.
- Driving operational excellence across engineering practices, optimizing for cost, performance, and maintainability.
This manager role is pivotal in translating Four Seasons’ data foundation strategy into executable solutions for the finance domain, enabling a unified, governed, and intelligent data ecosystem that supports business growth and decision-making across the enterprise.
This role is based in our temporary location of 20 York Mills Rd, then the Four Seasons Hotels and Resorts, Toronto Corporate Office, reporting to the Director, Data Foundations Engineering. This role involves interactions with both internal and external stakeholders at various levels.
What You’ll Be Doing:
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.
- Closely work with vendors, contractors and other FS teams to operationalize the data migration process for the hotels.
- Implement and oversee CI/CD workflows, Infrastructure as Code (IaC), and automated testing frameworks (unit, integration, and data validation) with built-in monitoring and observability to meet defined SLAs and SLOs.
- Operationalize data quality by integrating Informatica IDQ into finance workflows for profiling, rule-based validation, and continuous data quality monitoring.
- 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 finance stakeholders.
- Collaborate closely with Data Science and Analytics teams to deliver curated, model-ready data assets that comply with privacy and governance policies.
- Lead end-to-end finance data migration projects, including data discovery, profiling, mapping (e.g., chart of accounts, subledgers), data conversion, validation, parallel runs, reconciliation, cutover execution, and hypercare support.
- Document and enforce financial data controls, ensuring transparency, traceability, and compliance throughout migration and integration processes.
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 finance datasets supporting accurate BI and reporting.
- Successful delivery of finance data migration and integration projects, with validated reconciliations and audit-ready documentation.
Data Architecture & Governance
- Apply established enterprise data architecture and engineering standards to ensure consistent, scalable, and governed design of finance data solutions across Azure, Databricks, and Informatica environments.
- Collaborate closely with Enterprise Architecture and the Director of Data Engineering to align finance data engineering practices with enterprise technology strategy, security controls, and cloud infrastructure standards.
- Design and implement finance data models and integration patterns that enable analytics, forecasting, and AI workloads while maintaining alignment with enterprise foundational frameworks.
- Lead data modeling activities (conceptual, logical, and physical) for finance and related domains, ensuring traceability, accuracy, and conformance with the Unified Data Model.
- Embed governance and data quality practices (profiling, rules, lineage, metadata management) into finance data engineering workflows using Informatica IDQ and Unity Catalog.
- Support architectural design and technical delivery for enterprise programs such as Finance Transformation, Lakehouse modernization, and Commercial Analytics, ensuring all solutions adhere to architectural best practices.
- Contribute to solution design reviews and technical documentation, ensuring performance, maintainability, and compliance with Four Seasons’ data engineering standards.
- Partner with Data Governance and Business Stakeholders to ensure finance data solutions reinforce stewardship, cataloging, and certification practices for trusted reporting and analytics.
- Stay informed on emerging technologies and architectural patterns (e.g., Lakehouse optimizations, data mesh, AI-driven engineering) and identify practical improvements to strengthen foundational capabilities.
Operational and Delivery Responsibilities
- Ensure compliance with enterprise architecture and governance processes for all finance-related data initiatives.
- Coordinate cross-functional collaboration among data engineers, architects, analysts, and finance teams to maintain alignment with IT strategy and business objectives.
- Translate architectural direction into executable tasks, guiding engineering teams in the development and implementation of finance data models, frameworks, and pipelines.
- Support project planning and execution, including scoping, resourcing, and milestone tracking for finance data initiatives.
- Conduct pre- and post-implementation validation to confirm alignment with business requirements, data standards, and performance benchmarks.
- Collaborate with internal and external partners, including vendors and system integrators, to ensure high-quality delivery of finance data projects and adherence to contractual obligations.
- Provide subject matter expertise in finance data engineering, assisting technical teams in resolving complex design or performance issues.
- Proactively communicate project status, risks, and dependencies to leadership, escalating critical issues that may impact delivery timelines or quality.
- Promote continuous improvement through feedback loops, retrospectives, and optimization of engineering practices to enhance quality, efficiency, and team collaboration.
Expected Outcomes
- Consistent application of enterprise data architecture and engineering standards across finance data initiatives.
- Strengthened alignment between finance data solutions and enterprise technology strategy.
- Timely delivery of finance migration and integration projects that meet business, technical, and governance requirements.
- Improved collaboration and transparency across engineering, finance, and governance teams.
- A high-performing, technically proficient team focused on innovation, accountability, and continuous improvement.
- Future-ready finance data assets that are trusted, performant, and AI-enabled to support strategic decision-making across the enterprise.
What You Bring:
- Minimum 5-8 years experience Data Engineering; with experience in Azure using Databricks.
- Bachelor’s degree Required; MBA or Master’s in Engineering preferred.
- Expert in Data Engineering in Microsoft Azure Environment + Toolsets (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.
- Strong SQL query skills.
- Strong history in Python, Pyspark, or Scala.
- Data process improvement.
- Working in large data sets.
- Confluence, Jira, TestRail.
- Helpdesk Tools and methods.
- Microsoft Visio.
- Microsoft Office Suite, very strong Excel.
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
- Strong technical expertise in data engineering and data architecture within Azure and Databricks ecosystems.
- Proven ability to deliver results through others, balancing hands-on work with leadership oversight.
- Excellent team management and fostering a high-performance culture.
- Solid leadership skills with experience driving data migration, integration, and transformation projects, especially in finance domains.
- Strong financial and budgeting acumen, ensuring cost-effective delivery and platform optimization.
- Excellent conceptual, analytical, and problem-solving abilities, with sound judgment and decision-making.
Salary Range: $110,000 - $130,000
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 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.