RQ11240 - Sr. Applications Architect
The Senior Applications Architect will lead the development and implementation of application architectures, focusing on scalable data pipelines using Databricks and AI-driven data analysis. This onsite role requires extensive experience in cloud-native technologies, microservices, and public sector governance processes.
- Compensation
- CA$88–CA$132 / hr
- Location
- Toronto, ON, Canada
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Contract
- Experience
- Not specified
- Category
- Architecture
- Posted
Skills
Must have
- 5+ years of experience in the development and implementation of applications and databases
- Engineered scalable data pipelines utilizing hands-on Databricks expertise
- Experience in using AI for data analysis
- Leadership experience in application architecture development
- Experience with Information Architecture, Data Modelling, and BI Analytics
- Experience with CASE tools like PowerDesigner and Visio
- Experience with cloud native technology including Azure App Services and RESTful APIs
- Experience with microservice architecture using Tanzu
- Experience with OPS Governance processes and Target State Architecture
Nice to have
- Public Sector experience
Full description
**RQ11240 - Sr. Applications Architect9+ month contract (189 business days) - possible extensionONSITE 5 days - 87 Sir William Hearst Ave., Toronto, Ontario M3M 0B4
MUST HAVES:**
- 5+ years of experience in the development and implementation of applications and databases
- Engineered scalable data pipelines utilizing hands-on Databricks expertise.
- Experience in using AI for data analysis which blends traditional strengths with new AI-centric abilities
- Public Sector experience (Highly preferred)
Skill Set Requirements:
· Leadership experience in the development and implementation of application architectures at the specified experience level.
· Facilitation skills to engage multiple stakeholders involving I&IT solutions, security, privacy, and accessibility considerations
· Solid experience and knowledge of Information Architecture, Data Modelling, BI Analytics
· Experience in the use of Computer Aided Software Engineering (Case) tools (i.e. PowerDesigner, Visio) and other software tools
· Experience in using AI for data analysis which blends traditional strengths with new AI-centric abilities:
o Prompt Engineering: Communicating effectively with AI tools to get desired analysis and insights.
o Machine Learning Literacy: Understanding how ML models work (prediction, pattern recognition) and when to apply them.
o Automation Mastery: Using AI to automate data collection, cleaning (ETL), and workflow building.
o Generative AI for Analytics: Using AI to speed up tasks like summarization or initial data exploration.
· Designed and implemented scalable data pipelines leveraging hands-on expertise in Databricks.
· Solid experience and knowledge of cloud native technology and architecture to support applications with high sensitive data such as Azure App Services and RESTful API
· Extensive experience with microservice architecture using containers – specifically with Tanzu (formerly Pivotal Cloud Foundry)
· Extensive experience with at least three different platforms (e.g. Midtier, Mobile), operating systems (e.g. Solaris, Windows), environments, database technologies (e.g. MS SQL), programming languages (e.g. Java, C#, JavaScript), and communications protocols (ftp, http, smtp, ntp, tcp/ip, udp, icmp)
· Knowledge of and experience with MLITSD application patterns and infrastructure
· Experience in structured methodologies for the design, development and implementation of applications
· Extensive experience in systems analysis and design in large systems environments