Technology Architect

NOTE: Hybrid 3 days in the office - Flexible - required to be in the office if needed.

MUST HAVE:

• 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.

Description

Responsibilities

• Developed, recommended, implemented, and managed the technical architecture (hardware, software, database, and communications) for all or specific applications in a large, distributed cross-platform environment.
• Identified relevant information and determined the appropriate environment 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 communication protocols.
• Experience with middleware and gateways.
• Knowledge of performance considerations across various 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, with the ability to guide others in 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 using 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, decision-making, verbal and written communication, interpersonal, and negotiation skills.
• A team player with a track record of meeting deadlines.
• Experience in developing enterprise architecture deliverables (e.g., models).

Desirable Skills

• Experience in developing enterprise architecture deliverables based on Ontario Government Enterprise Architecture processes and practices.
• 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

Technical Skills (40%)

• 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 (35%)

• 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 (25%)

• 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.