RQ10180 Applications Architect Senior

Deliverables:

• 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:
  

• 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.
  

• 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
  
• Awareness of emerging technologies trends and direction
  
• Excellent analytical problem-solving and decision-making skills; verbal and written communication skills; interpersonal and negotiation skill
  
• Experience in OPS Governance processes Target State Architecture (TSA) and different architecture domains deliverables
  

Requirements

Experience and Skill Set Requirements:

Must Haves:

• 3 years of experience in the development and implementation of applications and databases
  
• 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.
  
• Experience in the use of Computer Aided Software Engineering (Case) tools (i.e. PowerDesigner Visio) and other software tools
  

Nice to have:

• Experience in using AI for data analysis which blends traditional strengths with new AI-centric
  

Skill Set Requirements:

Information Architecture:

• 3 years of experience in the development and implementation of applications and databases
  
• 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.
  

Public Sector Experience:

• Experience with Public Sector enterprise architecture governance committees and processes
  
• Experience with Target State Architecture (TSA)
  
• Experience with Public Sector GO-ITS standards.
  
• Experience with Standards architecture deliverables and artefacts
  

Soft Skills:

• Excellent analytical problem-solving and decision-making skills; verbal and written communication skills; interpersonal and negotiation skills
  
• Excellent facilitation skills and process mapping skills
  
• Excellent presentation skills
  
• Excellent documentation skills