DESCRIPTION
Our Client is seeking a 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 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 all.
While this role is remote, all work must be done from within Canada, due to network and data security issues. Must be Canadian Citizen to apply.
SKILLS
hadoop, SQL, Python, Semantic Data Models, Agile
EXPERIENCE REQUIRED/MANDATORY SKILLS
- 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+ year)
NICE TO HAVE SKILLS
- 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+ 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. (1+ year)
- 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)
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