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Pattison Food Group

Team Lead, Data & Analytics

Langley (District), BC, Canada
Langley Office - Langley BC, Canada

$108,405.00 - $135,506.00 · Full-time

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Job details

Pay: $108,405.00 - $135,506.00
Job type: Full-time
Apply by: Nov 6, 2026
Experience: 7+ years of progressive experience in data analytics, business intelligence, data engineering, analytics engineering, or a related field.
Posting language: English
Posted: Oct 28, 2026

Original job description

Come join Pattison Food Group Ltd., a Jim Pattison business, and Canada’s largest Western-based provider of food and health products.

Pattison Food Group Ltd. is a certified Great Place to Work® and consists of Save-On-Foods and other well-known grocery banners. With nearly 300 retail locations, we proudly employ nearly 30,000 team members.

We have an exciting opportunity for a full-time Team Lead, Data & Analytics to join our Data & Analytics team in Langley, BC.

Reporting to the Senior Manager, Data & Analytics, the Team Lead, Data & Analytics provides day-to-day people and technical leadership for a small team that leads to delivery of trusted, reusable data and analytics solutions. The role focuses on creating semantic and contextual layers, shared metrics, metadata, and ontology-informed structures on the enterprise Lakehouse to support consistent reporting, self-service analytics, and emerging AI-enabled experiences.

Working with business stakeholders, Data Engineers, Data Analysts, Machine Learning Engineers, Data Scientists, and IT, the Team Lead translates business concepts into governed data products and helps ensure solutions are secure, reliable, maintainable, and aligned with organizational standards.

You will be responsible for:

Leading the design, development, and continuous improvement of semantic layers, contextual data models, and reusable data products within the enterprise Lakehouse environment.
Translating business concepts, KPIs, definitions, hierarchies, and relationships into standardized semantic models, shared metrics, and governed datasets to ensure consistency across reporting and analytics.
Partnering with business stakeholders to gather requirements, understand complex business challenges, and translate operational needs into practical, scalable technical solutions.
Guiding the development of metadata, business glossaries, data lineage, and ontology-informed structures to improve data discovery, interpretation, governance, and AI readiness.
Leading data and analytics projects from requirements gathering and solution design through development, testing, deployment, and ongoing support.
Providing day-to-day leadership, coaching, and technical guidance to a small team of Data Analysts and Data Engineers, with opportunities for team growth.
Overseeing the development of scalable data models, certified datasets, dashboards, and reporting solutions supporting large-scale enterprise data environments.
Collaborating with Data Engineering, IT, Architecture, and business teams to establish reusable data structures, improve data quality, and support enterprise self-service analytics.
Ensuring solutions meet established standards for data governance, security, documentation, performance, and production readiness.
Supporting the evaluation and adoption of modern data technologies, including Databricks capabilities, semantic modelling tools, and AI-enabled analytics solutions.
Providing technical oversight and support for complex production issues, system enhancements, and business-critical deployments, including occasional after-hours support as required.

You have:

A degree in STEM or a related discipline, or an equivalent combination of education and experience.
7+ years of progressive experience in data analytics, business intelligence, data engineering, analytics engineering, or a related field.
Experience leading technical projects, workstreams, or small teams, including coaching and mentoring technical professionals.
Strong SQL and data modelling skills, including dimensional modelling, semantic modelling, analytical structures, and governed business metrics.
Experience designing or maintaining semantic layers, shared metrics, metadata structures, business glossaries, or other business-context data frameworks.
Demonstrated ability to gather business requirements, engage stakeholders, and translate complex business problems into scalable technical solutions.
Experience working with large-scale enterprise datasets and modern cloud platforms such as Azure, AWS, or GCP, ideally within a Lakehouse architecture.
Knowledge of data engineering practices, including data transformation, orchestration, quality assurance, lineage, testing, and deployment.
Experience with business intelligence and visualization tools such as Power BI, Tableau, or Qlik.
Understanding of data governance, security, metadata management, and enterprise data standards.

Preferred Experience

Databricks, Unity Catalog, Spark, Python, Delta Lake, or modern Lakehouse architecture.
Power BI semantic models, DAX, certified datasets, and enterprise self-service analytics.
Ontology design, knowledge graphs, data catalogs, data contracts, or metadata management.
Generative AI, conversational analytics, AI agents, or other AI-enabled data applications.
Experience in retail, grocery, or another large-scale, data-intensive business environment.

You are:

Self-aware, empathetic and possess a high level of Emotional Intelligence (EQ).
A collaborative technical leader who connects business requirements with scalable data solutions.
A strong communicator who can explain complex technical concepts to both technical and non-technical stakeholders.
Analytical and solutions-oriented, with the ability to navigate ambiguity and competing priorities.
Committed to developing team, maintaining high data quality standards, and delivering reliable enterprise analytics solutions.

What we offer:

In addition to a highly competitive salary, we offer a great range of benefits, a company pension plan, free parking, exclusive team member offers, and opportunities for development and career progression.

If you’re looking to join a team that puts people first, you’re in the right place. Apply online today!

IND6

Compensation Details:

$108,405.00 - $135,506.00

The compensation offered for this position will take into consideration location, education, skills, experience and other factors.

Apply About employer

More about this job

Responsibilities

Lead a small team and oversee the design, development, and ongoing improvement of semantic layers, contextual data models, shared metrics, metadata, and governed data products in the enterprise Lakehouse. Partner with business and technical stakeholders to deliver secure, reliable, reusable analytics solutions, support self-service reporting and AI readiness, and provide technical oversight for production systems.

Requirements

Requires a degree in STEM or a related discipline, or equivalent education and experience, plus at least seven years of progressive experience in data analytics, business intelligence, data engineering, analytics engineering, or a related field. Candidates should bring strong SQL and data modeling skills, experience leading technical work and mentoring others, and the ability to translate business needs into scalable solutions using enterprise data platforms and analytics tools.

Skills

SQL
Data Modeling
Semantic Modeling
Dimensional Modeling
Data Governance
Metadata Management
Business Requirements Gathering
Stakeholder Engagement
Data Engineering
Data Quality Assurance
Team Leadership
Power BI
Databricks
Python
Lakehouse Architecture
Business Intelligence

Benefits

Company Pension Plan
Free Parking
Team Member Offers
Development Opportunities
Career Progression

Visa sponsorship

Not detected in the job text

Keywords

Enterprise Lakehouse
Semantic Layers
Contextual Data Models
Shared Metrics
Governed Data Products
Metadata
Business Glossaries
Data Lineage
Ontology Design
SQL
Dimensional Modeling
Data Governance
Data Security
Data Quality
Data Transformation
Orchestration
Testing And Deployment
Power BI
Tableau
Qlik
Databricks
Unity Catalog
Apache Spark
Python
Delta Lake
DAX
Certified Datasets
Generative AI
Conversational Analytics
Retail Analytics

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