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About the Role

The Manager, Data Platform & Analytics Engineering will lead the rebuild and evolution of our Azure-based data platform, providing technical leadership and hands-on engineering support. This role guides semantic model design, ensuring curated data assets are business-friendly, consistently structured, performant, and aligned with enterprise analytics standards.

Responsibilities

• Lead the rebuild and modernization of the Azure data infrastructure, including raw, bronze, silver, and gold data layers.
• Define and guide the architecture, patterns, and standards for data ingestion, transformation, curation, and consumption.
• Ensure the platform is designed for scalability, reliability, security, data quality, observability, and maintainability.
• Partner with data engineering, analytics, product, architecture, governance, and business teams to align platform capabilities with business needs.
• Establish clear engineering practices for data pipelines, data models, environments, deployment, testing, documentation, and operational support.
• Provide hands-on technical guidance across Azure data services, data lake design, orchestration, transformation frameworks, and data pipeline development.
• Support the design and implementation of medallion architecture patterns, including raw ingestion, bronze standardization, silver business logic, and gold consumption-ready datasets.
• Guide the team on data partitioning, schema management, pipeline monitoring, error handling, performance optimization, and cost-conscious platform design.
• Review technical designs and code to ensure solutions are robust, reusable, and aligned with platform standards.
• Help troubleshoot complex data engineering issues and unblock delivery teams.
• Lead the development of standards for analytics-ready data assets, including dimensional models, curated tables, metrics layers, and semantic models.
• Guide semantic model formatting, naming conventions, measure definitions, relationships, hierarchies, and usability standards.
• Ensure gold-layer datasets and semantic models are intuitive for analysts, BI developers, and business users.
• Promote consistent definitions of key business metrics and help reduce duplication or conflicting logic across reports and dashboards.
• Partner with analytics and reporting teams to ensure data products are performant, trusted, and easy to consume.
• Act as the functional lead for data platform and analytics engineering work, setting direction, priorities, quality expectations, and delivery standards.
• Coach and mentor engineers, analysts, and other technical contributors on best practices in data engineering and analytics engineering.
• Translate business and technical requirements into practical platform and data product solutions.
• Balance hands-on technical delivery with leadership responsibilities, stepping in to design, build, review, or troubleshoot as needed.
• Help build a high-performing engineering culture focused on quality, ownership, documentation, reuse, and continuous improvement.

Requirements

• Strong experience designing and building modern cloud-based data platforms, preferably on Microsoft Azure.
• Hands-on experience with data lake architecture, data pipelines, transformation frameworks, and layered data models such as raw, bronze, silver, and gold.
• Strong understanding of data engineering principles, including ingestion, transformation, orchestration, data quality, lineage, monitoring, and performance tuning.
• Experience guiding or leading technical teams, either as a people manager, functional lead, technical lead, or senior individual contributor.
• Ability to review technical designs and implementations, provide constructive feedback, and set clear engineering standards.
• Experience with analytics engineering concepts, including curated data models, metric definitions, dimensional modeling, and semantic layer design.
• Strong communication skills, with the ability to explain technical concepts to both engineering teams and business stakeholders.
• Ability to operate in a hands-on capacity while also providing direction, coaching, and technical leadership.
• Experience with Azure Data Lake, Azure Data Factory, Azure Synapse, Azure Databricks, Microsoft Fabric, Power BI, or related Azure analytics services.
• Experience implementing medallion architecture in an enterprise environment.
• Experience with CI/CD, infrastructure-as-code, environment management, and DevOps practices for data platforms.
• Experience with data governance, metadata management, access controls, data cataloguing, and enterprise data standards.
• Experience designing Power BI semantic models, tabular models, or enterprise metrics layers.
• Experience working in a matrixed organization with multiple business, technology, and analytics stakeholders.

Skills

• Azure data services
• Data lake design
• Orchestration
• Transformation frameworks
• Data pipeline development
• Medallion architecture
• Data partitioning
• Schema management
• Pipeline monitoring
• Error handling
• Performance optimization
• Cost-conscious platform design
• Analytics engineering
• Curated data models
• Metric definitions
• Dimensional modeling
• Semantic layer design
• Power BI semantic models
• Tabular models
• Enterprise metrics layers
• CI/CD
• Infrastructure-as-code
• DevOps practices
• Data governance
• Metadata management
• Access controls
• Data cataloguing
• Enterprise data standards

Location

• North York

Work Type

• Hybrid
• 4 days a week in office
• 1 day a week remote

Experience Level

• Manager
• Leadership

About the Company

• Lifemark is a healthcare company with almost 400 clinics across Canada, leading in rehabilitation, injury management, disability management, and recovery services.
• United by our purpose, "Movement to a Better Life," we are driven by our people-first culture and our mission to help individuals, teams, and communities thrive.
• We are shaping the future of access to rehabilitation, injury management, and workplace recovery services in Canada.

Equal Opportunity

• We are committed to creating an inclusive environment where people from all backgrounds can thrive.
• Improving inclusion and equity is a collective responsibility.
• Lifemark promotes equal employment opportunities for all job applicants, including but not limited to those self-identifying as members of Indigenous communities, newcomers to Canada, women, and visible minorities.
• Accommodations are available upon request for candidates taking part in any aspect of the recruitment and selection process.