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Purolator

Senior Manager, Data Services & Platforms

ON, Canada
Mississauga, ON, L5N 0E1, Canada

Apply by: Oct 19, 2026
Experience: 8+ years of progressive experience in data engineering, data architecture, or data platform management
Posting language: English
Posted: Sep 28, 2026

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Original job description

It’s not a package. It’s a promise®.

As Canada’s leading integrated freight, package, and logistics provider, we’ve been helping promises get where they need to be for more than 60 years. How does the magic happen? The journey starts with you. The places we go, the elements we brave, the promises we deliver – it’s all possible because of our people. So, whether you’re looking to build new skills, make an impact in your community, or inspire your team, we go there for you.

Description

The Senior Manager, Data Services & Platform is a newly established leadership role within the Data, Governance & Analytics (DG&A) Hub at Purolator. This role owns two connected capabilities that form the technical backbone of the D&A organization: Data Services (architecture and engineering) and Platform Services (optimization and operational support of enterprise data platforms).

This role provides dedicated ownership for platforms, architecture, and engineering by establishing the technical standards, scalability, and sustainability that the rest of the D&A Hub and its Spoke partners depend on. The role reports to the Senior Director, Enterprise Data & AI Strategy, and leads a team of Data Architects, Data Engineers and Data platform owners and support teams.

Responsibilities

Data Architecture & Engineering

Develop and maintain the enterprise data & AI architecture blueprint, aligned to Purolator's D&A strategy and AI-first principles
Design and standardize data ingestion, transformation, and distribution patterns across source systems and analytical platforms
Lead the build and evolution of data pipelines on AWS (Glue, Step Functions, S3) and Azure Data Factory, ensuring reliability, observability, and testability
Define data modelling standards in conceptual, logical, physical, and canonical data models for Finance, Operations, and Customer domains
Oversee the SAP BDC semantic layer POC and guide integration architecture between SAP S/4HANA and enterprise Agentic BI/analytics platforms
Ensure engineering practices are reusable, well-documented, and aligned with the governed Data Product lifecycle
Collaborate with Data Governance on metadata management, lineage, and data quality integration within the architecture
Own the semantic model layer tabular models, DAX(Data Analysis Expressions) at enterprise scale, calculation groups, row-level and object-level security, incremental refresh and Direct Lake, as the single source of consumption semantics for enterprise Power BI
Set DAX standards, semantic model version control, and CI/CD promotion, using Fabric deployment pipelines and XMLA endpoint governance
Define and enforce a certified-dataset strategy that eliminates scattered Power BI dataset copies across business units

Platform Management & Optimization

Own the operational health and performance of key D&A platforms and AI components: Azure Fabric, Azure Power BI (tenant administration, capacity optimization, gateway management), AWS (Glue, Redshift, S3, IAM), Ataccama DQ/MDM modules, and related tooling
Define and execute platform roadmaps including migration, upgrade, and consolidation initiatives.
Establish and enforce platform governance: access controls, cost management, usage monitoring, and SLAs
Lead DevOps and CI/CD implementation for data platform deployments, ensuring consistent and repeatable release management
Manage relationships with platform vendors and negotiate technical support arrangements in partnership with Procurement and Vendor Management
Drive ITS collaboration on infrastructure, cloud provisioning, network, and security requirements for data platforms and AI components
Govern Microsoft Fabric capacity, CU sizing, workload balance, and auto-scale policies across Finance, Operations and Customer workspaces
Own Power BI tenant governance end-to-end: workspace hygiene, gateway estate, deployment pipelines Dev-Test-Prod, endorsement (Certified / Promoted) and Copilot enablement
Rationalise dataflows and datamarts against a Fabric-first target state as part of the Qlik Exit and legacy BI modernization

Additional Responsibilities

People Leadership

Lead, coach, and develop a team of Data Architects and Data Engineers, setting clear goals, performance expectations, and growth paths
Build team capability in modern cloud data engineering, platform operations, and AI-ready architecture patterns
Foster a culture of standardization, documentation, and engineering excellence within the team
Collaborate closely with Delivery Management, Data Governance, and Analytics teams to ensure the technical foundation supports business outcomes

Stakeholder & Cross-Functional Engagement

Act as the primary technical liaison between the D&A Hub and ITS (Infrastructure, Cloud, Security) teams
Represent the Data Services & Platform tower in D&A SteerCo and portfolio planning forums
Support Finance, Operations, and other Spoke partners in understanding platform capabilities and architectural direction
Contribute technical input to business cases, RFPs, and SOW evaluations for data platform investments

Education

A post-secondary degree or diploma in Data Science, Computer Science, Information Technology, Statistics, Mathematics, or a related field.

Experience

Required

8+ years of progressive experience in data engineering, data architecture, or data platform management
3+ years in a people leadership role (manager or senior manager level) with direct reports
Demonstrated expertise in cloud data platforms AWS (Glue, S3, Redshift, Step Functions) and/or Azure (ADF, Power BI, ADLS)
Familiarity with data governance platforms such as Ataccama (or similar: Alation, Collibra, Informatica)
Hands-on experience designing and building enterprise-scale data pipelines and integration architectures
Strong background in data modelling conceptual, logical, and physical across operational and analytical contexts
Practical experience with platform administration: Power BI tenant management, capacity planning, performance optimization
Track record of driving platform standardization, DevOps enablement, and release management in a data context
Strong stakeholder communication skills able to translate technical concepts for non-technical audiences
Expertise in Microsoft Fabric Semantic Models such as tabular modelling, DAX at enterprise scale, calculation groups, row-level and object-level security, incremental refresh, Direct Lake and composite models
5+ years leading enterprise Power BI development - canonical semantic models, deployment pipelines, XMLA endpoint governance, gateway estate and Copilot-enabled analytics
Demonstrated experience defining and enforcing a certified-dataset strategy across multiple business domains

Preferred

Experience with SAP integration architectures (S/4HANA, BW, BDC, ODP) and semantic layer design
Exposure to BI migration initiatives
Understanding of DataOps and MLOps practices and tooling
Experience in logistics, supply chain, or parcel delivery industry environments
Relevant cloud certifications: AWS Solutions Architect, Azure Data Engineer Associate, or equivalent
Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) and/or Power BI Data Analyst Associate (PL-300)
Familiarity with Ataccama, Fabric Data Activator, OneLake shortcuts and cross-cloud mirroring (Semantic Models, OneLake, Direct Lake, DAX, XMLA)
Experience running BI rationalisation programs (dataset consolidation, workspace re-organisation, endorsement rollout)

Language Requirement: Proficiency in English is required for this position due to the frequent communications that must be conducted in English with various stakeholders. This requirement is justified by the nature of the responsibilities and operational needs.

POSTING DETAILS
Location: 530 - Corporate
Working Conditions: Office Environment

Reports to: Senior Director Data & Artifcial Intelligence
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Purolator is an equal opportunity employer committed to diversity and inclusion. We welcome all qualified applicants and provide accommodations during the recruitment process upon request.

Purolator complies with Canadian law in all recruitment practices. During pre-screening, we may use an Artificial Intelligence (AI) tool, supported by human oversight, to efficiently manage tasks such as resume screening and candidate matching, enabling our team to connect with qualified candidates faster.

Personal information is used solely for recruitment and managed in accordance with privacy legislation. For AI-related inquiries only, contact TalentCOE@purolator.com. To apply, visit our Careers Page.

We recognize that employees and their families are essential to our success. We strive to provide a safe, healthy, and supportive workplace, ensuring the right people have the tools they need to thrive.

Every day at Purolator is an opportunity to connect with colleagues, customers, and communities to make a positive impact. Learn more about our values at www.purolator.com.

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More about this job

Responsibilities

The Senior Manager, Data Services & Platforms leads the architecture, engineering, and operational support for enterprise data platforms and AI initiatives. This role manages a team of data professionals while establishing technical standards, governance, and platform roadmaps to support business outcomes.

Requirements

Candidates must have over 8 years of experience in data engineering or architecture, including at least 3 years in a leadership capacity. A post-secondary degree in a relevant technical field is required, along with deep expertise in cloud data platforms like AWS, Azure, and Microsoft Fabric.

Skills

Data Architecture
Data Engineering
Cloud Platforms
AWS
Azure
Microsoft Fabric
Power BI
Data Governance
People Leadership
Data Modeling
DevOps
CI/CD
Semantic Modeling
DAX
Platform Optimization
Stakeholder Management

Visa sponsorship

Not detected in the job text

Keywords

Data Architecture
Data Engineering
AWS
Azure
Microsoft Fabric
Power BI
SAP S/4HANA
Ataccama
Data Governance
DevOps
CI/CD
Semantic Modeling
DAX
Cloud Computing
Data Modeling
Platform Management
Logistics
Supply Chain
DataOps
MLOps
Redshift
Glue
ADF
Enterprise Data Strategy
Capacity Planning
Performance Optimization
Stakeholder Engagement
Technical Leadership
Data Quality
Metadata Management

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