I would like to present to you a new job opportunity and I think you may find it interesting.

If you are interested kindly send the following documents to hrsmss@smsoftconsulting.com by Monday, July 13, 2:30 PM EST if that interests you and matches your profile.

Updated Resume in word format (Mandatory) References (Mandatory) Expected hourly rate (Mandatory) Visa Status (Mandatory) LinkedIn ID (Mandatory)

Client: Ministry of Public and Business Service Delivery and Procurement

Work Location: 87 Sir William Hearst Ave., M3M 0B4, Toronto, Ontario, Onsite

Estimated Start Date: 2026-07-06

Estimated End Date: 2027-03-31

#Business Days: 189.00

Extension: Probable after the initial mandate

Hours per day or Week: 7.25 hours per day

Security Level: No Clearance Required

Must Have

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

RoleOverview

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. Power Designer, 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 highly 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. Mistier, 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, nap, top/Ip, up, imp) 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

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. Power Designer, 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

Note

5 days onsite