Semantic Data Architect (AI, Hadoop, MS SQ, Python)
- Canada
- Permanent
- Temps-plein
Length: Contract term is 1 year with a possibility of extension
Location: Remote - must be available for onsite meetings when required"The start date of this job is flexible and in order to find the best candidate the job may remain open much longer than the date mentioned on this posting... or you may be asked to start sooner than the expected start date if you are able to do so !"Please read the job description below. If this interests you, please send a MS-Word version copy of your resume (ASAP) along with a telephone contact number: E-mail to talent@teamrecruiter.comPlease mention the job title above in the subject line
The recruiter in charge of this role is SanAfter you have submitted your resume via e-mail please complete the application for this specific job by clicking "Submit Your Resume for this Job" at the bottom of this page to match your resume to the job.If you are interested in further opportunities, why not also do a general registration in our database. By visiting our website and clicking on "Database Registration"If you do not think you are a match for this opportunity, but know someone who is, feel free to forward this email to them and you will be eligible for a referral bonus upon a successful hire.Requirements:
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 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 to better leverage its data assets in alignment with the Government 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.Duties:
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.Must Have:
5 years experience in building analytical and quantitative analysis models.
5 years experience in data analytics or data science.
5 years experience using analytical and problem solving skills to plan and design creative...
5 years experience using Hadoop, Microsoft SQL and unstructured data. Must have background...
5 years experience with and understanding of the application of statistical methods such as...
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...
1 year experience Semantic data modelling and ontology design...Qualifications:
Nice to Have
3 years experience Cloud Architecture and Integration
5 years experience DevSecOps Practices in Data Environments
3 years experience Direct, hands-on experience with design and implementation of data security, data...
4 years experience in Agile project methodology.
1 year experience with Graph Development...
1 year experience Generative AI and Conversational Tools and Systems
1 year experience Metadata, Data Quality and Data Governance
1 year experience Semantic Data Modeling and Ontology Design, and taxonomies.
3 years experience with evaluating and applying emerging trends in.Please note that this is the most up to date version of job description available at this time - During Client Interview you will receive additional information - variance may apply !When you have some time please register in our database (5 minutes process) to be considered for future openings; the link is available on our website at http://www.teamrecruiter.com in the Candidate section. Please follow us on LinkedIn at https://www.linkedin.com/company/teamrecruiter.com/, or on Twitter at https://twitter.com/TeamRecruiter.We thank all applicants for their interest. Only those who meet the qualifications will be contacted through telephone/email. You are encouraged to register with us in our database to be considered for future positions available.Have a great day.At Teamrecruiter.com we offer some of the most highly qualified professionals in the workforce. We dedicate an industry trained recruitment specialist to the following areas: IT, Finance, Admin, Sales, Executive Search and Contractors. If you would like to learn more about our full-service recruiting firm please visit our website at www.teamrecruiter.com.CAMSC and ACSESS certified"...All Offers are conditional on Client Post-Offer Conditions being met and removed by end client prior to written offer signing""Please note that emails from our Recruitment Firm may inadvertently be sent to your Spam Folder. When contacted regarding an employment opportunity, please keep an eye on your Spam/Junk Folder to avoid missing important communication."THE EMPLOYER OF RECORD FOR THIS ROLE WILL BE TEAM RECRUITER / SE.Accommodations are available upon request for all individuals with disabilities taking part in the recruitment and selection process.