Job Summary
Reporting to the Director, Decision Intelligence and Emerging Technologies, the Senior Developer, Data provides technical leadership and hands-on expertise in designing, building, and maintaining key components of Porter’s enterprise data platform. This role is responsible for developing scalable data pipelines, ingestion frameworks, and transformation processes that enable trusted, accessible, and secure data across the organization including our AI program.

The Senior Developer, Data plays a key role in evolving Porter’s modern data lakehouse environments, supporting business intelligence, operational reporting, customer analytics, and emerging AI capabilities such as agents/coworkers and more. This role contributes to establishing engineering best practices across data for AI development, ensuring data products are reliable, observable, well-governed, and capable of supporting both current and future business needs.

Duties & Responsibilities

Lead the design and development of scalable data ingestion, transformation, and orchestration solutions within Porter’s data lakehouse environment focused on AWS S3 redshift

Develop and maintain batch and near real-time data pipelines that integrate data from operational systems, SaaS platforms, APIs, and third-party sources

Provide technical direction and mentorship to data developers, reinforcing engineering best practices, coding standards, and operational excellence

Partner with architects, technical leads, and business stakeholders to design data solutions aligned with enterprise architecture and business objectives

Design and implement reusable data models, transformation frameworks, and data products that support reporting, analytics, customer insights, and operational decision-making

Apply DevOps and CI/CD principles to automate data deployment, testing, monitoring, and lifecycle management of data assets

Establish and maintain data quality controls, PII validation processes, and automated testing frameworks to ensure trusted and reliable data

Implement data observability, lineage, and monitoring capabilities to proactively identify and resolve pipeline performance, reliability, and quality or compliance issues

Develop and optimize data solutions that support Customer, Revenue and Operations 360, enterprise analytics, and data integration of AI-enabled use cases





Ensure data assets are well-documented, discoverable, and governed through metadata management, cataloging, and business rule documentation

Collaborate with data analysts, data scientists, AI practitioners, and business teams to deliver accessible, high-quality datasets suitable for analytics, machine learning, and generative AI applications

Evaluate and recommend tools, frameworks, and technologies that improve platform scalability, developer productivity, and data accessibility

Support incident response, root cause analysis, and continuous improvement activities related to data platform operations

Actively participate in Porter’s Safety Management System (SMS) by reporting hazards and incidents encountered in daily operations and promoting a culture of safety

Perform other duties as assigned by the Director, Decision Intelligence and Emerging Technologies

Behavioural Competencies

Concern for Safety: Identifying hazardous or potentially hazardous situations and taking appropriate action to maintain a safe environment for self and others.

Teamwork: Working collaboratively with others to achieve organizational goals.

Passenger/Customer Service: Providing service excellence to internal and/or external customers (passengers).

Initiative: Dealing with situations and issues proactively and persistently, seizing opportunities that arise.

Results Focus: Focusing efforts on achieving high quality results consistent with the organization’s standards.

Fostering Communication: Listening and communicating openly, honestly, and respectfully with different audiences, promoting dialogue and building consensus.

Qualifications

5+ years of experience developing and supporting enterprise data platforms, data warehouses, lakehouses, or large-scale integration solutions

Understanding of the data foundations required to support analytics, machine learning, and generative AI solutions, including data quality, discoverability, lineage, and semantic consistency





Strong experience designing and developing data pipelines using modern cloud-based data using engineering tools and frameworks

Advanced SQ, Python,PySpark, sparkSQL skills with experience building complex transformations, optimization routines, and scalable data models, leveraging contemporary development practices and AI-assisted tools to improve productivity, quality, and maintainability

Proficiency in Python and experience developing automated data processing solutions

Experience working with cloud-based data platforms and services, preferably within AWS big data environments, Google GCP, Big query and GA4 is an asset

Hands-on experience with data integration, orchestration, and transformation tools such as AWS Datazone,Glue, AWS Lambda, Matillion, MuleSoft, or similar technologies

Strong understanding of data modeling concepts, including dimensional, operational, and analytical data structures

Experience implementing data quality, observability, lineage, and monitoring capabilities within modern data platforms

Knowledge of data governance, metadata management, privacy, security, and regulatory compliance practices

Proven ability to design and deliver scalable, maintainable, and secure data solutions

Demonstrated ability to lead technical discussions, mentor developers, and advise on engineering best practices

Strong problem-solving, troubleshooting, and performance optimization skills

Effective communication and collaboration within agile, cross-functional product teams

Experience working within a product operating model or closely with business stakeholders is an asset

Airline industry experience is an asset

Location
Toronto Downtown Office (250 Yonge Street) #LI-Hybrid

Company Description
Since 2006, Porter Airlines has been elevating the experience of economy air travel for every passenger, providing genuine hospitality with style, care and charm. Porter’s fleet of Embraer E195-E2 and De Havilland Dash 8-400 aircraft serves North America, including a coast-to-coast domestic Canadian network, the U.S., Mexico, the Caribbean and Central America. Headquartered in Toronto, Porter is an Official 4 Star Airline® in the World Airline Star Rating®. Visit www.flyporter.com or follow @porterairlines on Instagram, Facebook and X.

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📌 Senior Developer, Data (Ontario)
🏢 Porter Airlines
📍 Ontario