Senior Data Architect (22284)

Discover the possible

Anything is possible at the National Research Council (NRC)recently named one of Canadas 2025 Top Employers for Young People a 2025 Top Employer in the National Capital Region and Forbes Canadas Best Employers!

As Canadas leading research and technology organization our world-renowned research pushes the boundaries of science and engineering to make the impossible possible. Every day we explore new ideas through innovative research and help companies discover possibilities that impact Canadas future and the world.

At the NRC youll also discover new possibilities. Our supportive workplace fosters a culture of creativity welcoming fresh perspectives and innovation at all levels. We value teamwork. Youll collaborate across multiple fields and with the brightest minds to find creative solutions. Most importantly youll discover whats possible within you as you grow make valuable contributions and progress in your professional journey. From ground-breaking discoveries to a life-changing career discover your possible at the NRC.

The Role

We are looking for a creative and detail-oriented Senior Data Architect to join our Information Systems Unit. In this role the incumbent will contribute to the design deployment and enhancement of digitalized construction codes specifications and product data as well as a common data framework and environment to support the advancement of digital capabilities in the Canadian construction sector. The Senior Data Architect would be someone who shares our core values of Integrity Excellence Respect and Creativity.

As the data architecture subject matter expert you will apply your expertise in data governance and data structures to help the NRC Construction Research Centre to digitalize integrate and unify structured and semi-structured data as part of the development and implementation of modernized applications and platforms. You will work closely with research and regulatory teams project teams and external digital construction domain experts to create data cloud platform and AI solutions as part of IT modernization and construction sector digitalization initiatives.

The successful candidate is someone who can be counted on to:

• Lead the design development and implementation of data management solutions to support new digital construction capabilities including third-party data integrations harmonized data standards and interoperability for Building Information Modeling and a Common Data Framework/Environment.
  
• Develop and refine a holistic data model across NRC Construction structured data semi-structured content (e.g. XML) unstructured content and metadata.
  
• Interpret business requirements in order to design and implement database schemas data governance security/data protection and data integrations.
  
• Build proof-of-concepts to validate and refine solution designs.
  
• Investigate and recommend new data solutions including new or updated Microsoft Azure or Fabric applications features and services.

The Role (contd)

• Collaborate with the Information Systems Unit team to design and develop data visuals dashboards or reports from new applications or datasets.
  
• Work with NRC and external AI specialists to design and adapt AI solutions to advance digital construction capabilities such as the digitalization of construction codes.
  
• Participate in project teams and working groups composed of Information Systems Unit team members management and subject matter experts to define use cases requirements target-state designs and implementation plans for emerging digital construction capabilities.
  
• Collaborate with the NRC Knowledge & Information Technology Services (KITS) and Security Branch to set up cloud data services based on requirements and support security assessments and develop associated technical documentation.
  
• Support knowledge transfer and capacity building by documenting best practices developing training materials and mentoring team members on data architecture principles and digital construction technologies.

Screening Criteria

Applicants must demonstrate within the content of their application that they meet the following screening criteria in order to be given further consideration as candidates:

Education

Bachelor degree in Computer Science or a related discipline from a recognized University or a Technical College diploma in Computer Science or a related field.

An equivalent combination of education and direct experience may be considered.

Microsoft Azure certifications may be considered an asset.

For information oncertificates and diplomas issued abroad please see Degree equivalency

Experience

1. Significant and recent experience in designing and implementing data integrations pipelines SSIS and APIs.
2. Significant and recent experience in data modeling (dimensional multi-dimensional relational) and database design and implementation.
experience in designing and implementing Azure data platform services such as Azure SQL CosmosDB Azure Data Factory.
4. Significant experience in designing and deploying AI solutions using Natural Language Processing or Large Language Models.

The following may be considered as Assets:

• Recent experience in programming in Python or R for data analysis or machine learning and machine-learning frameworks such as PyTorch.
• Experience with Azure DevOps Repos and Pipelines (or similar version control and CI/CD tools).
• Experience with data visualization tools such as Power BI.
• Experience with spatial data or Building Information Modeling (BIM) data.
• Experience with XML/XSD or DITA content modeling and validation as well as structured content management systems for technical documentation.
• Experience with Oracle-APEX.
• Experience with graph databases and knowledge representation languages (e.g. RDF or OWL).

Condition of Employment

Reliability Status

For a Reliability Status verification of background information over a period of 5 years is required.

Language Requirements

English

Information on language requirements and self-assessment tests

Assessment Criteria

Candidates will be assessed on the basis of the following criteria:

Technical Competencies

• Advanced ability to apply data governance (data quality data stewardship data protection and compliance data management) to data (existing and new capabilities) of an organization or team/business unit.
• Ability to produce edit and present high quality technical documentation and data/technical architecture diagrams for both technical and non-technical audiences.
• Advanced knowledge of data pipelines development data modelling cloud compute platforms data integration and APIs automation data security and privacy.
• Knowledge of Azure platform services such as Azure SQL CosmosDB Azure Data Factory API Management and related and an ability for building further knowledge in Azure services to support emerging NRC digital construction requirements.
• Knowledge of Natural Language Processing and Large Language Models and the ability to design and implement AI solutions.

Behavioural Competencies

Competency Profile(s)

For this position the NRC will evaluate candidates using the following competency profile(s):Technology Support

View all competency profiles

Compensation

From $101874to $127511per annum.

NRC employees enjoy a wide-range of competitive benefits including a robust pension plan comprehensive health and dental coverage disability and life insurance office closure at the end of December and additional supports to enhance your well-being throughout your career and beyond.

Notes

• In 2025 the NRC has been chosen as one of Canadas Top Employers for Young People the National Capital Regions Top Employers and Forbes Canadas Best Employers.
• Relocation assistance will be determined in accordance with the NRCs directives.
• A pre-qualified listmay be established for similar positions for a one year period.
• Preference will be given to Canadian Citizens and Permanent Residents of Canada. Please include citizenship information in your application.
• The incumbent must adhere to safe workplace practices at all times.
• We thank all those who apply however only those selected for further consideration will be contacted.