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Senior Data Lakehouse Engineer
2 weeks ago
We are seeking an experienced Senior Data Lakehouse Engineer to lead the design, development, and evolution of our modern data lakehouse architecture—enabling seamless data ingestion, transformation, storage, and analytics across structured and unstructured data. You will play a critical role in building a unified, scalable platform that supports both real-time and batch workloads, enabling enterprise-wide analytics, personalization, and operational intelligence.
A key focus of this role is to integrate data from diverse systems into trusted, accessible datasets that support 360-degree views across multiple business domains. You will collaborate with architects, data engineers, analysts, and data scientists to ensure the platform is robust, secure, and aligned with evolving business needs. As a senior contributor, you will also help shape engineering practices, mentor team members, and guide strategic platform decisions.
Duties & Responsibilities- Lead the growth and evolution of a scalable, secure, and high-performing data lakehouse that meets diverse business needs
- Collaborate with business and technical stakeholders to translate strategic goals and operational processes into practical, well-modeled data products
- Design and implement flexible data models and transformation logic to support enterprise-wide 360-degree views across customer, revenue, and operations
- Build and optimize ETL/ELT pipelines to ensure timely, accurate delivery of curated datasets that are easy for business teams to access and use
- Enable real-time and batch processing of data to support decision-making, personalization, reporting, and automation use cases
- Partner closely with analytics, product, and operational teams to help them explore data, ask better questions, and trust the answers
- Champion data discoverability, quality, and documentation—ensuring business users understand what data is available, how it's defined, and how to use it confidently
- Establish secure, automated data ingestion and transformation pipelines with clear lineage, versioning, and governance controls
- Implement privacy- and compliance-focused data handling practices, including masking, encryption, and auditability
- Maintain a centralized data catalog and documentation hub, connecting datasets to their business meaning and usage context
- Guide platform improvements that reduce friction, increase self-service access, and accelerate time to insight for teams across the organization
- Mentor data engineers and contribute to the maturity of our data engineering practices and platform strategy
- Actively participate in Porter's Safety Management System (SMS), including reporting hazards and incidents; uphold and promote the Company Safety Policy
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.
- 7+ years of experience in data engineering, with a strong focus on modern cloud-based data architectures and team leadership
- Expert-level SQL skills including stored procedure development, optimization, and modeling for analytics and operational use cases
- Proven experience designing Customer 360 data platforms, ideally integrating CRM and CDP sources in MACH-aligned architectures
- Deep understanding of versioned data models, incremental processing, and schema evolution
- Significant experience with real-time streaming technologies (e.g., Kafka, Kinesis, or equivalent)
- Hands-on experience with ETL/ELT tools such as AWS Glue, Matillion, Mulesoft, and orchestration tools like Airflow or AWS Step Functions
- Familiarity with cloud-native governance and cataloging frameworks (e.g., Lake Formation, Alation, Collibra)
- Strong understanding of data privacy and security frameworks, including PIPEDA and GDPR
- Ability to mentor others, lead design sessions, and communicate technical trade-offs with cross-functional stakeholders
- Excellent problem-solving, documentation, and communication skills
- Airline and/or aviation experience strongly preferred
Toronto Downtown Office (250 Yonge Street) #LI-Hybrid
Company DescriptionSince 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 a North American network from Eastern Canada. Headquartered in Toronto, Porter is an Official 4 Star Airline in the World Airline Star Rating. Visit or follow @porterairlines on Instagram, Facebook and Twitter.
