Data Architect

Intellex Systems; Edmonton; Remote; CAD 100,000 - 130,000; Full time

Job summary

A technology firm in Canada is seeking a Semantic Data Architect to design and implement cloud-based architectures. The role requires expertise in data science, data governance, and the ability to work within multidisciplinary teams. Candidates must have substantial experience in building analytical models, working with unstructured data, and designing semantic data models. This is a remote position with occasional on-site meetings required.

Qualifications

• Minimum 6 years of progressive experience in relevant fields.
• Experience designing semantic data models and ontologies.
• Experience working in cloud-based data architecture.

Responsibilities

• Design and implement cloud-based semantic architectures.
• Develop and administer semantic layers and knowledge graphs.
• Ensure compliance with data governance frameworks.

Skills

Analytical and quantitative analysis models

Data science and data engineering

Problem solving skills

Hadoop

Microsoft SQL

Statistical methods

Dimensional modeling techniques

Python development

Relational database modeling

Business intelligence environment

Education

University graduation in Computing Science or related field

Tools

Cloud-based data platforms

CI/CD pipelines

Job description

Overview

Data Architect

Our client requires a Semantic Data Architect to support the design, development, and implementation of cloud-based semantic architectures, services and tools that enable the client to better leverage its data assets in alignment with their 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.

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.

Resource will work remotely but must be available to be on-site when requested for meetings. Frequency of meeting could be up to 3-4 times per fiscal year. Standard Hours of work are 08:15 – 16:30 Alberta time. Work must be done from within Canada, due to network and data security issues. Resource is responsible to pay for travel to on-site meetings.

Edmonton, Alberta (Remote within Canada)

Mandatory Requirements

• Must meet or exceed one of the following: University graduation-Computing Science (CS), Information Technology (IT), Engineering (ENG), Management Information Systems (MIS) or related discipline & 6-yrs progressive related experience; 2-yr diploma-CS, IT, ENG, MIS or related discipline & 8-yrs progressive related experience; 1-yr certificate-CS, IT, ENG, MIS or related discipline & 9-yrs progressive related experience; 10-yrs progressive related experience
• 5 years’ 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.
• 1 year experience designing semantic data models and ontologies to enable structured knowledge representation and improve conversational AI.

Desirable Requirements

• 3 years’ 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.
• 5 years’ experience with architecting and maintaining and orchestrating secure, automated CI / CD pipelines for data and AI services to enable rapid, compliant deployments.
• 3 years’ direct, hands-on experience with design and implementation of data security, data privacy, policies, data de-identification / anonymization, data audits / reviews, synthetic data
• 4 years’ experience in Agile project methodology.
• 1 year experience building and maintaining enterprise knowledge graphs
• 1 year hands-on experience with generative AI orchestration tools, vector databases and frameworks, and their integration with enterprise source data systems for conversational interfaces.
• 1 year demonstrated experience in managing metadata, ensuring data quality, and implementing data governance frameworks to support enterprise compliance efforts.
• 1 year expertise in designing and implementing semantic models, ontologies, and taxonomies to support enterprise semantic knowledge representation.
• 3 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.