Tech Analyst, Data

Being part of Air Canada is to become part of an iconic Canadian symbol, recently ranked the best Airline in North America. Let your career take flight by joining our diverse and vibrant team at the leading edge of passenger aviation.
Join Air Canada—an iconic Canadian brand and North America's top-ranked airline—as we lead the next wave of digital transformation in aviation. With major IT initiatives underway and a strong commitment to innovation, this is a unique opportunity to help shape the future of travel technology.

We're looking for a highly skilled and experienced Data Engineering Technical Analyst to drive the design, development, and delivery of scalable data solutions. This role involves leading technical assessments, mentoring data engineers, and actively developing and reviewing data pipelines to ensure robustness, scalability, and performance across enterprise data platforms. The ideal candidate will possess deep expertise in cloud-based data engineering, DevOps practices, and modern data architecture, with a strong focus on Azure and Snowflake ecosystems.

As a champion of technical excellence, the Technical Analyst contributes to a culture of innovation, collaboration, and continuous improvement. You'll work closely with architects, developers, and product teams to enhance operational efficiency, ensure platform stability, and explore emerging technologies—including AI and data-driven insights—that help keep our airline systems modern, scalable, and customer-focused.

Let your career take flight by joining a team that's redefining the digital passenger experience at the forefront of global aviation.

Responsibilities
Design & Implementation

• Manage implementation of solutions for exploratory data analysis and conducts implementation assessments based on Architecture Overview Documents (AOD) and Detailed Data Solutions.
• Provide accurate effort estimations and assess feasibility of proposed architectures and data models.
• Design, undertake and analyze data to determine patterns and insights that can optimize data ingestion and data presentation.

Pipeline Design & Development

• Design and develop cost-effective, scalable ELT pipelines using reusable components and frameworks.
• Support the delivery of AI and data projects by designing and implementing streaming and/or batch pipelines.
• Design and document pipeline implementation strategies including, scheduling of jobs and workflows, dependencies, error handling, monitoring and alerting and unit testing.
• Monitor and resolve alerts/failures in prod/non-prod environments to ensure operational reliability.
• Participate in peer reviews and oversee the review and approval of code and pipelines.

Environment Setup & Collaboration

• Set up non-production and production environments including MFT flows, RBAC, cloud services, Git repositories, and defining appropriate branching strategies.
• Design, test, and maintain scalable data architectures, including databases and distributed processing systems.
• Collaborate with stakeholders including product owner(s), data science, and digital teams to assist with data-related technical issues, support data infrastructure needs and production release strategies.

Technical Leadership & Mentorship

• Mentor and guide data engineers on best practices, business logic implementation, and quality assurance.
• Identify and document technical debt; differentiate between defects and scope changes and effectively communicate with product team
• Educate the organization both from IT (including vendors) and the business perspectives on data ingestion and data streaming tools, processes and best practices.
• Establish strong relationship with vendor partners to ensure strong delivery, innovation and ongoing improvement in receiving high value services.
• Provide technology or services ownership direction on all matters related to a key functional area – to associated functional lead and peers

DevOps & Data Modeling

• Lead deployment and transition-to-operations (TTO) activities for UAT and production.
• Apply strong understanding of DevOps processes, Star Schema, Data Vault, and data warehousing principles.

Qualifications
Professional Experience

• 3-5 years of experience leading enterprise data warehouse development teams.
• Proven success in Agile environments and cloud-based data platforms, especially Azure and Snowflake.

Technical Skills

• Expertise in building robust, scalable data pipelines for batch and streaming data.
• Proficiency in SQL, Python, stored procedures, and scheduling tools.
• Hands-on experience with ETL/ELT tools such as Azure Data Factory (ADF), Databricks, Snowflake, DBT and Talend.
• Skilled in implementing monitoring and alerting mechanisms for data pipelines.
• Strong capability in reviewing engineering deliverables for performance, scalability, and maintainability.
• Experience with prompt engineering and leveraging Generative AI (GenAI) to accelerate development and automate engineering workflows.

Education

• Bachelor's degree in Engineering, Computer Science, Mathematics, or a related field.

Soft Skills

• Excellent communication, problem-solving, and analytical skills.
• Proven leadership and mentoring capabilities.
• Strong collaboration skills with cross-functional teams.
• Demonstrate punctuality and dependability to support overall team success in a fast-paced environment.

Conditions Of Employment

• Candidates must be eligible to work in the country of interest, at the time any offer of employment is made and seeking any required work permits/visas or other authorizations which may be required is the sole responsibility of the candidates applying for this position.

Linguistic Requirements
Based on equal qualifications, preference will be given to bilingual candidates.

Diversity and Inclusion
Air Canada is strongly committed to Diversity and Inclusion and aims to create a healthy, accessible and rewarding work environment which highlights employees' unique contributions to our company's success.

As an equal opportunity employer, we welcome applications from all to help us build a diverse workforce which reflects the diversity of our customers, and communities, in which we live and serve.

Air Canada thanks all candidates for their interest; however only those selected to continue in the process will be contacted.