RQ07901 Technology Architect

Key responsibilities include:

Data Ingestion and Storage: Collecting and storing security data from various sources, both batch and real-time, using Microsoft Fabric.
Data Analysis and Transformation: Utilizing Python, Spark, SQL and user interfaces to analyze and transform data.
Visualization and Reporting: Creating visual representations of data, such as charts, graphs, and dashboards, using Power BI and Copilot for natural language interaction with data.
Collaboration: Working closely with data engineers, analysts, and stakeholders to understand data needs and provide relevant insights.
Tool Proficiency: Proficient in using Microsoft Fabric, Power BI, and Copilot for Fabric to perform data analysis and visualization (or similar tools).

Skills required for this role include strong analytical abilities, proficiency in data visualization tools, excellent communication skills, and a good understanding of business processes and data management. Additionally, familiarity with AI and machine learning concepts is beneficial.

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

Advantages
Good compensation working on projects that will make a difference to the people of Ontario.

Responsibilities
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.

Key responsibilities include:

Data Ingestion and Storage: Collecting and storing security data from various sources, both batch and real-time, using Microsoft Fabric.
Data Analysis and Transformation: Utilizing Python, Spark, SQL and user interfaces to analyze and transform data.
Visualization and Reporting: Creating visual representations of data, such as charts, graphs, and dashboards, using Power BI and Copilot for natural language interaction with data.
Collaboration: Working closely with data engineers, analysts, and stakeholders to understand data needs and provide relevant insights.
Tool Proficiency: Proficient in using Microsoft Fabric, Power BI, and Copilot for Fabric to perform data analysis and visualization (or similar tools).

Skills required for this role include strong analytical abilities, proficiency in data visualization tools, excellent communication skills, and a good understanding of business processes and data management. Additionally, familiarity with AI and machine learning concepts is beneficial.

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

Qualifications
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.

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.

Summary
If interested and qualified for this role, please apply today for immediate consideration!

Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.