17 Data Architect jobs in Canada available for remote work from home. Apply for positions such as Associate Technical Architect - Data, Principal Data Architect — Databricks Enablement, Senior Data Architect -Healthcare and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Lead and collaborate with a high-energy team to solve complex data challenges for global enterprise clients. Design and implement scalable data pipelines and optimize database performance using cutting-edge cloud and AI technologies.
The Principal Data Architect will lead the design and implementation of complex cloud-based data solutions for clients. They will also act as a data engineering subject matter expert to define strategic roadmaps and provide technical guidance to the engineering team.
The Senior Data Architect will lead the design of enterprise data architectures within a complex healthcare environment, focusing on cloud platforms and interoperability. They will define data models, governance frameworks, and integration solutions while partnering with engineering and business teams to align data strategy with organizational goals.
The Senior Data Architect leads the design and governance of enterprise data platforms, including lakehouse solutions and complex data models. This role collaborates with engineering and business teams to implement scalable, secure data products that support analytics and decision-making.
The Senior Data Architect is responsible for optimizing the data platform by turning data into actionable business insights through full lifecycle activities. This includes designing relational databases, managing ETL processes, and ensuring compliance with data governance policies.
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Design and implement production-grade Microsoft Fabric solutions, including pipelines, lakehouses, and real-time analytics patterns. Establish enterprise-wide data architecture standards, governance models, and CI/CD frameworks using Terraform.
Design and govern enterprise-grade Salesforce data architectures and models across various clouds to ensure scalability and security. Lead data migration strategies, integration efforts with external systems, and optimize data structures for AI and analytics readiness.
Design business data models and define the overall data architecture framework, standards, and principles. Lead the translation of business requirements into technical specifications while mentoring a team of data engineers and analysts.
The Senior Data Architect will design and implement Microsoft Fabric solutions, establishing standardized patterns for data ingestion, transformation, and governance. They will also define target-state architectures, CI/CD pipelines, and cost models to ensure platform integrity and operational readiness.
Define and implement enterprise architecture to protect personal and sensitive data across cloud platforms and business processes. Act as a strategic advisor to leadership to ensure regulatory compliance and secure data usage in AI and analytics environments.
Develop and design scalable, secure, and reliable data and AI architectures to support business units and AEC initiatives. Collaborate with multidisciplinary teams to translate business requirements into technical solutions and drive innovation through research and development.
Lead presales engagements by designing end-to-end data platforms and governance solutions using Microsoft Fabric and Azure Databricks. Act as a senior technical advisor to translate complex data and AI capabilities into business value and executive-ready proposals.
The role involves designing and maintaining robust ETL pipelines and semantic layers in Databricks to enable self-serve BI and AI-driven workflows. You will also partner with marketing stakeholders to develop dashboards and perform deep-dive analyses to inform business strategy.
You will own the data layer and design the analytics architecture, including a tiered platform for system of record, low-latency serving, and batch/ML processing. You will also be responsible for database performance, schema modeling, and implementing observability to ensure system reliability.
The Senior Manager will bridge the gap between pre-sales strategy and project delivery by designing and architecting high-impact data and AI solutions. They will lead technical discovery, define project scopes, and collaborate with delivery teams to ensure solutions align with client business objectives.
The Director will lead the strategy, design, and governance of the enterprise data architecture while actively contributing to technical solutions. They will partner with engineering and business stakeholders to establish standards for data quality, modeling, and AI-ready data platforms.
Drive sales and growth across strategic enterprise accounts by acting as a trusted advisor to C-level executives. Lead the development of multi-year transformation roadmaps spanning data strategy, platform modernization, and enterprise architecture.
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