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About the Role
As a Staff Data Engineer on the Retail Media Platform team, you will lead the design and evolution of large-scale data platforms and backend systems supporting measurement, reporting, analytics, and AI-enabled capabilities. This is a hands-on technical leadership role for an engineer who can independently design complex solutions, make sound architectural decisions, solve challenging production problems, and guide engineering practices across teams. You will work closely with Data Engineering, Backend, Product, and AI teams to improve platform scalability, reliability, performance, and maintainability.
Responsibilities
- Lead end-to-end solution design for large-scale data platforms and distributed systems.
- Translate complex requirements into scalable, reliable solutions with clear architectural trade-offs.
- Drive technical decisions across data pipelines, storage, metadata, APIs, and service dependencies.
- Lead design reviews, mentor engineers, and establish engineering best practices.
- Design, build, and optimize data pipelines supporting batch, streaming, and analytical workloads.
- Develop scalable data models and processing architectures for large datasets.
- Establish strong practices for data validation, quality, testing, monitoring, and recovery.
- Improve performance, cost efficiency, and operational reliability across production systems.
- Collaborate on backend service and API architecture for data-intensive applications.
- Design efficient data access and serving patterns that support analytics and reporting.
- Build reliable, well-modeled data foundations for AI-enabled products and advanced analytics.
- Contribute hands-on through technical design, coding, troubleshooting, and code reviews.
- Set standards for maintainability, testing, observability, and production readiness.
- Guide complex cross-team initiatives from design through delivery.
Requirements
- Demonstrated Staff-level technical judgment and experience independently designing and delivering complex production systems.
- Strong knowledge of data architecture, data modeling, distributed data processing, and analytical workloads.
- Hands-on experience developing and operating large-scale data pipelines.
- Strong SQL skills and proficiency in a programming language such as Python, Scala, or Java.
- Understanding of backend architecture, API design, data access patterns, and system performance.
- Experience with cloud data platforms, orchestration, storage design, and production operations.
- Strong understanding of data quality, validation, testing, monitoring, and failure recovery.
- Ability to evaluate technical trade-offs, lead design discussions, and influence engineering decisions across teams.
- Experience mentoring engineers and raising engineering standards.
- Experience with Apache Spark/PySpark and distributed processing frameworks.
- Experience with GCP technologies such as Dataproc, BigQuery, GCS, and Airflow.
- Familiarity with analytical or non-relational databases such as Druid, Bigtable, or Elasticsearch.
- Experience with streaming technologies such as Kafka.
- Experience building data platforms supporting AI/ML workloads.
- Experience with retail media, advertising technology, or measurement systems.
- Candidates who are 18 years or older are required to complete a criminal background check.
Skills
- Data Engineering
- Backend Systems
- Measurement
- Reporting
- Analytics
- AI-enabled Capabilities
- Scalability
- Reliability
- Performance
- Maintainability
- Data Pipelines
- Storage
- Metadata
- APIs
- Service Dependencies
- Data Models
- Batch Processing
- Streaming Processing
- SQL
- Python
- Scala
- Java
- Cloud Data Platforms
- Orchestration
- Observability
- Apache Spark
- PySpark
- GCP
- Dataproc
- BigQuery
- GCS
- Airflow
- Druid
- Bigtable
- Elasticsearch
- Kafka
- AI/ML
- Retail Media
- Advertising Technology
- Measurement Systems
Location
- Canada
Work Type
- Full-time
Experience Level
- Staff-level
Salary/Compensations
- $145,000.00 - $195,000.00 per year
Benefits
- Progressive careers
- Comprehensive training
- Flexibility
- Competitive benefits
About the Company
- Loblaw Companies Limited is one of Canada's largest employers, committed to positively impacting the lives of all Canadians and shaping the future of Canadian retail.
- Our CORE Values – Care, Ownership, Respect and Excellence – guide all our decision-making and come to life through our Blue Culture.
- We are recognized as one of Canada’s Top Employers, Canada’s Best Diversity Employers, Canada’s Greenest Employers & Canada’s Top Employers for Young People.
Equal Opportunity
- We have a long-standing focus on diversity, equity and inclusion because we know it will make our company a better place to work and shop.
- We are committed to creating accessible environments for our colleagues, candidates and customers.
- Requests for accommodation due to a disability (which may be visible or invisible, temporary or permanent) can be made at any stage of application and employment.
- We encourage candidates to make their accommodation needs known so that we can provide equitable opportunities.