RQ11240 - Applications Architect - Senior

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:
  
• 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.
  
• 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
  
• 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

Information Architecture - 40%

• 5+ 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.
  
• Engineered scalable data pipelines utilizing hands-on Databricks expertise.
  
• 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 - 25%

• 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 - 20%

• 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 - 15%

• 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
  

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