Platform Engineer Technology

We are seeking a high-performing Data Architect to help build and scale the data infrastructure that powers analytics, automation, and AI across the firm. This role offers engineering responsibility, including designing and implementing production-grade data pipelines, working with cloud-native tools, and collaborating with senior engineers and data scientists.

Location: Remote (Canada)

Salary: $60,000 - $100,000 CAD

Responsibilities

• Design and build organizational data infrastructure/architecture
• Partner with business leaders and domain owners to translate strategic priorities into data architecture capabilities
• Provide insights into the changing database/datalake storage and utilization requirements for the company and offer suggestions for solutions
• Establish standards for data platforms, integrations, analytics, and AI enablement
• Analyze database/datalake implementation methods to ensure compliance with company policies and regulations
• Assist with organizational decisions on data infrastructure and architecture and make decisions on data strategy
• Act as a trusted advisor on how data architecture enables revenue, efficiency, and risk reduction, advising leadership on data investment decisions
• Oversee the migration of data from legacy systems to new solutions
• Apply architectural principles, product-specific guidelines, security standards, usability design standards
• Influence decision-making across stakeholders and guide engineering teams in resolving complex challenges
• Drive expansion of analytics and AI services by embedding scalable design patterns
• Contribute thought leadership, reusable assets, and frameworks to scale across Data & AI practice

Requirements

• 3+ years of experience in data platform architecture, analytics, or AI/ML
• Experience translating business requirements into technical design documents
• Experience architecting and securing big data solutions
• Experience with Azure
• Experience with Python and SQL
• Understanding of data movement and ETL
• Understanding of data governance and metadata tools
• Excellent communication skills
• Ability to work with an international team
• Experience building data lakes and data products (preferred)
• Team leadership and stakeholder management
• Understanding of Databricks, Docker, Kubernetes, or Azure Functions
• Strategic thinker and strong execution orientation
• Ability to work in cross-functional teams
• Attention to detail and data quality