The Data Platform Architect is responsible for defining and governing the enterprise data platform architecture that supports analytics, reporting, and AI/ML initiatives. The role ensures data platforms are scalable, secure, reliable, and cost-efficient while aligning with business and technology strategies. Working closely with Product Management, Data Engineering, Cloud, Security, and Analytics teams, the architect provides technical leadership, establishes standards and reference architectures, and drives the evolution of enterprise data capabilities.

The Data Platform

Architect is responsible for defining and governing the enterprise data platform architecture that supports analytics, reporting, and AI/ML initiatives. The role ensures data platforms are scalable, secure, reliable, and cost-efficient while aligning with business and technology strategies. Working closely with Product Management, Data Engineering, Cloud, Security, and Analytics teams, the architect provides technical leadership, establishes standards and reference architectures, and drives the evolution of enterprise data capabilities.

Define and maintain enterprise data platform strategy, architecture standards, and design patterns. Develop target-state architectures, technical documentation, and architectural roadmaps. Evaluate and govern data platform, integration, and ETL/ELT technology selections.





Provide architectural guidance for data pipelines, analytics platforms, and integration solutions. Ensure compliance with data privacy, governance, and regulatory requirements. Standardize data integration approaches, including batch, streaming, and event-driven architectures.

Partner with engineering teams to translate architectural standards into implementable solutions. Assess emerging technologies and recommend architectural improvements, including AI-enabled data engineering capabilities. Data Platforms & Databases Azure Data Lake (ADLS) Microsoft Fabric Databricks SQL Server PostgreSQL Oracle Data Engineering Data modeling and governance Data lineage, observability, and reliability engineering CI/CD for data platforms Programming & Analytics SQL Python AI/ML data platform enablement Salesforce ServiceNow Technical leadership Problem-solving and strategic planning Agile and Waterfall delivery methodologies Bachelor's degree in Computer Science, Information Technology, Data Science, or related field. ~7+ years of database engineering experience, including 3+ years in architecture design. ~ Master's degree and healthcare domain experience preferred. ~ Experience with enterprise integrations, APIs, and contemporary cloud-based data ecosystems. #

📌 Technical Architect (Cloud Transformation) (Mississauga)
🏢 HCLTech
📍 Mississauga