OverviewMaplesoft implements TimeLive for Electronic time tracking.Please view the demo below on how to enter and approve time.Do you want to work in a dynamic setting where your contributions count?At Maplesoft, we value the contributions of all our employees and contractors. We listen and act upon suggestions, advice, and innovative ideas to further our strategic vision. In turn, Maplesoft contributes to the communities where we live and operate. We think globally, but act in our own backyards.Build your future with Maplesoft’s exciting technologies, deep partnerships, personal approach to consulting services, professional development opportunities and exciting company culture.If you are interested in any of following job openings, please apply directly to [email protected], citing theposition titleandjob idin the email subject line.Position DetailsJob Title: Data Knowledge EngineerContract Length: 6 MonthsLocation: Hybrid in Guelph, ONFederal Government Clearance Level Required: NoneVacancy Type: New PositionAbout UsMaplesoft Group is currently seeking a Hybrid Data Knowledge Engineer for our client.Position SummaryThe Data Knowledge Engineer plays a critical role in enabling the organization’s transition toward AI-driven analytics and data navigation. This role is responsible for designing, developing, and maintaining the enterprise data knowledge graph—a structured network of metadata, business definitions, relationships, and governance policies that enables AI systems and analytics platforms to accurately interpret and navigate enterprise data.Working within the Data Governance team, the Data Knowledge Engineer ensures that enterprise data assets are described, connected, and governed in a way that supports trusted analytics, AI-driven insights, and responsible data usage across the organization.This role bridges data governance, data architecture, and analytics engineering to ensure that business meaning, data ownership, policies,



and lineage are represented in a machine-readable format that supports modern data platforms and AI interfaces.Key ResponsibilitiesEnterprise Data Knowledge Graph DevelopmentDesign and maintain the enterprise data knowledge graph by connecting metadata across the organization’s data ecosystem.Defining relationships between data assets, business concepts, policies, and ownershipModeling connections between data products, datasets, semantic models, metrics, and domainsEnsuring metadata relationships support AI-driven data discovery and navigationMaintaining graph integrity as data platforms and architectures evolveMetadata Integration and ArchitectureIntegrate metadata across enterprise platforms to create a unified metadata ecosystem.Metadata sources may include: Data catalog platforms (e.G., Microsoft Purview), Lakehouse governance platforms (e.G., Databricks Unity Catalog), Analytics and semantic layers (e.G., Microsoft Fabric semantic models), Data pipelines and lineage systems, Identity and access management systemsEnsure metadata relationships are captured and represented consistently across the ecosystem.Semantic Model AlignmentCollaborate with analytics, data engineering, and domain teams to ensure semantic models accurately represent business meaning.Aligning semantic models with business glossary definitionsSupporting standardization of enterprise metricsEnsuring consistent interpretation of key business concepts across analytics assetsConnecting semantic models to underlying data products and datasetsGovernance Policy EnablementTranslate governance policies into machine-readable metadata and policy structures that support automated enforcement.Examples include: Data classification rules, Access control policies, Regulatory restrictions, Trust signals and certification indicatorsThis work supports dynamic governance capabilities, such as AI-mediated data access and trust-based query evaluation.Data Product Context and OwnershipSupport the governance framework for enterprise data products by ensuring that critical metadata elements are defined and maintained.Examples include: Data product ownership,



Steward assignments, Domain alignment, Certification status, Data quality indicatorsThese elements become core nodes within the enterprise knowledge graph.AI Readiness and Data ContextEnsure enterprise data assets are described in ways that allow AI systems and copilots to interpret them accurately.This includes ensuring that: Business definitions are clear and standardized, Authoritative datasets are identified and documented, Data relationships are well understood, Governance policies are visible to AI navigation systemsRequired QualificationsExperience with enterprise metadata management and data catalog platformsKnowledge of modern data architectures (lakehouse, medallion, data products)Experience with semantic data modeling and metrics layersFamiliarity with data lineage, metadata frameworks, and governance conceptsAbility to model relationships between data assets, business meaning, ownership, and policiesExperience integrating metadata across multiple enterprise data platformsStrong collaboration skills across technical and business teamsPreferred technologies:Microsoft PurviewDatabricks Unity CatalogMicrosoft FabricKnowledge graph or ontology modeling conceptsData governance frameworks (DAMA, DCAM)CompensationSalary Range: $85.00 – $115.00 per hourApplication Submission DetailsOur recruitment process is led by human recruiters who review all applications and make the final hiring decisions. We use AI-assisted tools to help screen and organize applications. These tools do not replace human judgment, and all hiring decisions are made by people.Please note that data collected by the Company may be stored or processed on servers located outside of Canada.Submission DetailsSubmission Deadline: Friday, March 20, 2026How to Apply: Submit your resume (and cover letter) to:[email protected]://www.Maplesoftgroup.Com/Careers/Career-OpportunitiesMaplesoft is an equal opportunity employer and welcomes applications from all qualified candidates. Accommodations are available upon request throughout the recruitment process.Ready to Excel?Think you're a great fit for our team? Explore our Job Opportunities page.#J-18808-Ljbffr

📌 Data Knowledge Engineer - $85 - $115 An Hour (Courtice)
🏢 Maplesoft
📍 Courtice