Responsibilities:

• Develops, recommends, implements and manages the technical architecture (hardware, software, database and communications) which will be used for all or specific applications in a large, distributed cross-platform environment.
  
• Responsibilities also include the identification of relevant information and the determination of the environment, which will be used for development.
  

General Skills:

• Leadership experience in the development and implementation of technical architectures at the specified experience level
  
• Extensive experience with at least three different platforms, operating systems, environments, database technologies, and communications protocols
  
• Experience with middleware and gateways
  
• Knowledge of performance considerations in different environments
  
• Experience in structured methodologies for the design, development and implementation of applications
  
• Extensive experience in systems analysis and design in large systems environments
  
• Knowledge and experience designing processes around ITIL and is able to guide others using this methodology
  
• Experience translating business requirements into reporting needs
  
• Experience preparing conceptual, logical and/or physical processes and data models
  
• Experience developing, recommending, implementing and managing technical architecture
  
• Experience in the use of Computer Aided Software Engineering (CASE) tools and other software tools such as project management tools
  
• Awareness of emerging technologies, trends and directions
  
• Excellent analytical, problem-solving and decision-making skills; verbal and written communication skills; interpersonal and negotiation skills
  
• A team player with a track record for meeting deadlines Experience in developing enterprise architecture deliverables (e.g. models)
  

Desirable Skills:

• Experience in developing enterprise architecture deliverables (e.g. models) based on Ontario Government
  
• Enterprise Architecture processes and practice Knowledge and understanding of Enterprise Content Management (Open Text ECM applications)
  
• Knowledge and understanding of Information Management principles, concepts, policies and practices
  

Experience and Skill Set Requirements:

Must Haves:

Technical Skills (3+ years experience)

• Familiarity with data warehousing concepts and proficiency with Microsoft Fabric (or similar) for collecting and storing data from various sources.
  
• Ability to use notebooks for data analysis and transformation, skills in cleaning and preprocessing data to ensure accuracy and consistency.
  
• Expertise in creating visual representations using Power BI (or similar) to develop interactive dashboards and reports.
  
• Experience utilizing Copilot (or similar) for natural language interaction with data, making it easier to generate insights and visualizations.
  

Analytical Skills (3+ years experience)

• Understanding of statistical methods to interpret data and identify trends, patterns, and insights.
  
• Ability to analyze complex data sets and solve problems through data-driven insights.
  
• Knowledge of business processes and how data can be used to improve decision-making and performance.
  

AI and Machine Learning Skills (1+ year experience)

• Familiarity with AI and machine learning concepts to leverage Copilot (or similar) for enhanced data analysis and visualization.
  
• Experience using AI tools to provide data-driven insight and perform predictive analytics.
  

Skill Set Requirements:

Technical Skills:

• Data Ingestion and Storage:
  

• Microsoft Fabric: Proficiency in using Microsoft Fabric for collecting and storing data from various sources, both batch and real-time (or similar tools and skills).
  
• Data Warehousing: Knowledge of data warehousing concepts and practices as resource will be working with data Engineers.
  

• Data Analysis and Transformation:
  

• Ability to use notebooks for data analysis and transformation, leveraging languages like Python, Spark, and SQL.
  
• Data Cleaning: Skills in cleaning and preprocessing data to ensure accuracy and consistency.
  

• Visualization and Reporting:
  

• Power BI: Expertise in creating visual representations of data using Power BI to develop interactive dashboards and reports (or similar).
  
• Copilot for Fabric: Utilizing Copilot for natural language interaction with data, making it easier to generate insights and visualizations (or similar).
  

Analytical Skills:

• Data Interpretation:
  

• Statistical Analysis: Understanding of statistical methods to interpret data and identify trends, patterns, and insights.
  
• Problem-Solving: Ability to analyze complex data sets and solve problems through data-driven insights.
  

• Business Acumen:
  

• Understanding Business Processes: Knowledge of business processes and how data can be used to improve decision-making and performance.
  
• Industry Knowledge: Familiarity with the specific industry in which the organization operates, to provide relevant and actionable insights.
  

AI and Machine Learning Skills:

AI Integration:

• Copilot for Fabric: Familiarity with AI and machine learning concepts to leverage Copilot for enhanced data analysis and visualization.
  
• Predictive Analytics: Using AI tools to perform predictive analytics and generate forecasts based on historical data.