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Senior Manager, Data Services & Platforms

Date: 28 Sept 2026

Location: Mississauga, ON, CA, L5N 0E1

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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 Dev Ops 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

- Lead, coach, and develop a team of Data Architects and Data Engineers, setting explicit 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

Stake

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📌 Senior Manager, Data Services & Platforms (Mississauga)
🏢 Purolator
📍 Mississauga