Job Description

SEMANTIC DATA ARCHITECT

Requisition #:

R25-3359 (GOAPRDJP00000659)

Location:

Remote (within Canada)

Engagement Type:

Contract

Number of Resources required:

1

Rate (CAD):

Up to $110 per hour / Commensurate with related experience and market competitiveness

Term:

2025-10-01 to 2026-09-30 with 12-month extension available (up to 24-month contract)

Hours per day:

7.25

Security Screening:

Security Screening: Standard (Criminal Record Check)

Submission Deadline/Closing Date:

August 29, 2025 (12:00 PM Mountain Time)

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Tri-global Solutions Group Inc. is seeking one (1) Semantic Data Architect to join our talented Service Delivery team at Ministry of Technology and Innovation (Government of Alberta).

WORK MODEL: The successful contractor will be working remotely, though must be available for onsite meetings if required. It is anticipated that this role will be 100% remote. Work must be done from within Canada at all times due to network and data security policies. Applicants must be authorized to work in Canada to apply (Canadian Citizen or Permanent Resident). Standard Hours of work are 08:00 - 16:30 Alberta time, Monday through Friday excluding observed holidays.

Please review the project overview and requirements below. If you meet the requirements and are interested in submitting for this role, please reply to this job posting.

If you know other consultants who may be interested in this opportunity kindly share this job posting.

Thank you.

Tri-global Solutions Group Inc.

Website: https://tri-global.com

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PROJECT OVERVIEW

Project Name:

Data Projects

Scope:

The Data and Content Management Division uses a one-government approach to information and privacy governance, decision-making, and service delivery across the Government of Alberta (GoA) balanced with individual client needs. This facilitates enhanced data access, collaboration, reduction in data duplication, and innovation to ensure effective and efficient services across the government to provide better services to Albertans.

The Data Centre of Excellence requires a Semantic Data Architect to support the design, development, and implementation of cloud-based semantic architectures, services and tools that enable the Government of Alberta (GoA) to better leverage its data assets in alignment with the GoA Data Strategy. This expert role will work collaboratively within a multidisciplinary team to architect and operationalize semantic layers, knowledge graphs, and AI-enabled data services that support cross-ministry integration and engagement with key stakeholders. By enabling the use of semantic technologies and knowledge, this will help enact the pillars of the Data Strategy by using data to benefit Albertans.

The successful candidate will be a Semantic Data Architect with a diverse range of technical skills and experience working in complex, multi-disciplinary environments. The role may have aspects of any or all the following: semantic architecture design, cloud platform integration, data governance, metadata and ontology management, AI infrastructure development, and stakeholder engagement. The candidate will contribute to the development and administration of semantic layers and knowledge graphs, support secure and compliant cloud-based data platforms, and apply Agile and DevOps practices to deliver scalable, interoperable solutions.

DESCRIPTION OF SERVICES

1. Lead the design and implementation of semantic data models that support generative AI applications and conversational user interfaces.

2. Develop and manage ontologies, taxonomies, and metadata standards to enhance data discoverability, governance, and reuse.

3. Document architecture decisions, standards, and best practices to support operational sustainability and knowledge transfer.

4. Architect and maintain scalable cloud-based infrastructure to support semantic data integration, knowledge graphs, and AI- and advanced analytics-driven services.

5. Collaborate with multi-disciplinary teams to align semantic architecture with strategies and ensure interoperability across supported platforms.

6. Integrate generative AI tools with enterprise data systems to enable intelligent conversational capabilities.

7. Support the development of conversational user interfaces, AI-enabled data products and AI agents that leverage structured and unstructured data sources.

8. Ensure policy-aligned data privacy, security, and ethical AI practices are embedded in all semantic and AI infrastructure designs.

9. Provide technical leadership and mentorship to other team members involved in semantic, AI and advanced analytical initiatives.

10. Monitor and evaluate emerging technologies in semantic knowledge, AI, and data architectures to inform strategic planning and innovation.

MANDATORY REQUIREMENTS

- Proposed resource must meet or exceed one of the following (10 years+): o University graduation-Computing Science (CS), Information Technology (IT), Engineering (ENG), Management Information Systems (MIS) or related discipline & 6-yrs progressive related experience; o 2-yr diploma-CS, IT, ENG, MIS or related discipline & 8-yrs progressive related experience; o 1-yr certificate-CS, IT, ENG, MIS or related discipline & 9-yrs progressive related experience; o 10-yrs progressive related experience

- Experience in building analytical and quantitative analysis models. (5 years+)

- Experience with projects that involved data science , data engineering and / or AI. (5 years+)

- Experience using analytical and problem solving skills to plan and design creative solutions. (5 years+)

- Experience using Hadoop, Microsoft SQL and unstructured data. Must have background with unstructured data, in the form of social media, video feeds or audio. (5 years+)

- Experience with and understanding of the application of statistical methods such as regression, significance testing, and other methods to address key business issues. (5 years+)

- Experience with dimensional modeling techniques. (5 years+)

- Experience with Python development (5 years+)

- Experience with relational database modeling techniques. (5 years+)

- Experience working in a data warehouse/business intelligence or relevant data environment in either a development or support role. (5 years+)

- Experience designing semantic data models and ontologies to enable structured knowledge representation and improve conversational AI. (1 years+)

DESIRABLE REQUIREMENTS

- Proven experience designing and deploying scalable cloud-based data platform architectures that integrate with semantic and advanced Artificial Intelligence (AI) and Machine Learning (ML) analytical technologies. (3 years+)

- Experience with architecting and maintaining and orchestrating secure, automated CI/CD pipelines for data and AI services to enable rapid, compliant deployments. (5 years+)

- Direct, hands-on experience with design and implementation of data security, data privacy, policies, data de-identification/anonymization, data audits/reviews, synthetic data (3 years+)

- Experience in Agile project methodology. (4 years+)

- Experience building and maintaining enterprise knowledge graphs (1 years+)

- Hands-on experience with generative AI orchestration tools, vector databases and frameworks, and their integration with enterprise source data systems for conversational interfaces. (1 years+)

- Demonstrated experience in managing metadata, ensuring data quality, and implementing data governance frameworks to support enterprise compliance efforts. (1 years+)

- Expertise in designing and implementing semantic models, ontologies, and taxonomies to support enterprise semantic knowledge representation. (1 years+)

- Experience evaluating and applying emerging trends in semantic research areas, Generative AI, AI ethics, advanced analytics (AI, machine learning, data science) and data interoperability to inform strategic planning. (3 years+)

NOT FOR YOU?

Check out our other opportunities at https://tri-global.com or follow us on LinkedIn. We thank all candidates in advance. Only candidates selected for an interview will be contacted.

WHY WORK WITH TRI-GLOBAL?

- Empower positive change by enabling our clients to revolutionize innovation and technology, elevating them to a higher level of excellence and efficiency.

- Join an exceptional and committed team that redefines the landscape, forging a distinctive path towards success.

- Engage in stimulating and captivating projects that push boundaries and keep you constantly motivated.

Job Type: Full-time

Pay: Up to $110.00 per hour

Benefits:

Work from home
Application question(s):

Confirm the following MANDATORY requirements:
- Bachelor in CompSci / IT / ENG / MIS or related discipline + 6 years of progressive related experience OR 10 years of related progressive work experience (10+ years)
- Built analytical and quantitative analysis models (5+ years)
- Worked on data science, engineering, or AI projects (5+ years)
- Solved problems with creative solution design (5+ years)
- Used Hadoop, MS SQL, and unstructured data (5+ years)
- Applied regression and statistical methods (5+ years)
- Used dimensional modeling techniques (5+ years)
- Developed applications with Python (5+ years)
- Used relational database modeling techniques (5+ years)
- Worked in data warehouse or BI environments (5+ years)
- Designed semantic models and ontologies for AI (1+ years)

REPLY: YES/NO

Experience:

Working on data science, engineering or AI projects: 5 years (required) Using analytical skills to design creative solutions: 5 years (required) Using Hadoop, MS SQL, and unstructured data sources: 5 years (required) Applying statistical methods to solve business problems: 5 years (required) Using data modeling: dimensional and relational: 5 years (required) Developing with Python in data environments: 5 years (required) Design scalable cloud platforms with AI and ML: 3 years (preferred) Build secure CI/CD pipelines for AI and data services: 5 years (preferred) Use GenAI tools, vector DBs, and source data systems: 1 year (preferred) Manage metadata, data quality, and governance: 1 year (preferred) Build and maintained enterprise knowledge graphs: 1 year (preferred) Using Agile project methodology: 4 years (preferred) Built analytical and quantitative analysis models: 5 years (required) data architecture or data science preferably in semantics: 8 years (preferred)
Work Location: Remote