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