
Job ID: RQ11240 - Applications Architect - Senior
Experience and Skill Set Requirements
Information Architecture
Demonstrated experience in providing information architecture interpretation advice and expertise to other project and/or enterprise level I&IT project teams.
Demonstrated experience in delivering architectural artefacts as required by the project to successfully pass through the project review governance points.
Demonstrates previous leadership in complex application architecture reviews and assessments, development and/or support projects for enterprise initiatives.
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:
Prompt Engineering: Communicating effectively with AI tools to get desired analysis and insights.
Machine Learning Literacy: Understanding how ML models work (prediction, pattern recognition) and when to apply them.
Automation Mastery: Using AI to automate data collection, cleaning (ETL), and workflow building.
Generative AI for Analytics: Using AI to speed up tasks like summarization or initial data exploration.
Technical Skills
Experience in Modular and composable application architecture
Experience in Omni-channel delivery of government services
Solid experience in cloud design and solution including infrastructure design with cloud subscription.
Solid experience in cloud native architecture including microservice architecture, RESTful API, API management.
Experience in Data ingestion informed by consumption requirements
Experience in Implementation and adoption of data mesh for storage
Experience in systems analysis and design in a large, integrated systems environments
Experience in the use of architecture design tools and cloud management tools such as Power Designer, DevOps, and Collaboration tools.
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