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Added 20 days ago
Associate Scientist
Fortis Life Sciences
Toronto, ON
$24 to $30 CAD / hour
Full-time · Contract
We are seeking a Junior Scientist / Associate Scientist to join our growing biotechnology team. This is a hands-on scientific
Added 25 days ago
Sr. Physical AI Research Scientist
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Toronto, ON
Full-time
Added 25 days ago
Strategic Data Architect for Social Impact (Spanish)
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Toronto, ON · Greater Toronto Area, Canada
Volunteer
Help local foundations turn data into insight, action, and stronger community impact. In this volunteer role, you will support partners to organize information, develop practic
Added 25 days ago
Data Architect (Knowledge Graph & Data Governance)
Tiger Analytics
Toronto, ON
Full-time
…100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have…
Added 20 days ago
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Vancouver, BC
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Come work as a Lab Scientist - Genome Analyst with Vancouver Coastal Health (VCH)!
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Research Technical Assistant - AI and Multimodal Foundation Models
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Toronto, ON
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Three ingredients make that possible, and very few firms have all three: the data, real and messy
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Data Scientist - Algorithms, Mapping
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Added 29 days ago
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Added 25 days ago
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Applied Scientist, Pro Growth
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Junior Consultant
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…the lookout for an ambitious Junior Consultant (Engineer or Scientist) to join our dynamic team. Come be a part of a visionary journey that is all about making a positive impact. This role…
Added 25 days ago
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…the lookout for an ambitious Junior Consultant (Engineer or Scientist) to join our dynamic team. Come be a part of a visionary journey that is all about making a positive impact. This role…
Added 27 days ago
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Emterra Group
Remote, Canada
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Added 26 days ago
Machine Learning Scientist
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Remote, Canada
Full-time · Remote
Added 26 days ago
Data Scientist
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Toronto, ON
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Experience with Azure data tools - azure, databricks, MLflow, python
Added 26 days ago
Scientist Equine
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Burnaby, BC
$36 to $40 CAD / hour
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Added 21 days ago
Summer Intern 2027 - Quantitative Analyst
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Quantitative Equity Data Science
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We are looking for a Data Scientist to join our Quantitative Equity Team! We are a high-performance team embedded in a top-performing quantitative equity fund that manages over $78+ billion…
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Toronto, ON
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must have experience Azure data tools - azure, databricks, MLflow, python
Added 26 days ago
Early Professional, Environmental Scientist
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Added 26 days ago
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Added 21 days ago
Winter Co-op 2027 - Quantitative Analyst
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Tiger Analytics

Data Architect (Knowledge Graph & Data Governance)

Toronto, ON, Canada

Job type: Full-time
Apply by: Feb 23, 2027
Posting language: English
Posted: Aug 27, 2026

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Original job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for Forward Deployed Engineer (FDE) - Data Architect, who will directly engage with cross-functional business, AI, and engineering teams to design and deploy scalable, production-grade Knowledge Graph solutions and robust Data Governance frameworks. This role will bridge complex semantic data modeling with real-world enterprise applications to drive contextual AI and unified metadata management.

Responsibilities

Knowledge Graph Engineering: Architect, design, and deploy enterprise Knowledge Graph solutions using Property Graphs and semantic technologies
Semantic Modeling: Build, maintain, and extend ontologies, taxonomies, metadata models, and enterprise knowledge structures tailored to client domain requirements
Data Governance & Metadata Management: Establish integrated data governance frameworks, including end-to-end data lineage, automated metadata management, business glossaries, data stewardship workflows, and data quality standards
Cross-Functional Collaboration: Partner closely with business stakeholders, AI/ML engineers, and data platforms teams to translate complex business domains into scalable semantic models
Technical Integration: Integrate knowledge graphs into broader enterprise data fabrics, data meshes, and AI systems (e.g., Graph-RAG, LLM context engines)
Delivery & Leadership: Act as a technical authority on customer deployments, translating ambiguous client needs into clean, scalable data architecture blueprints

Requirements

Knowledge Graphs: Proven experience designing and delivering enterprise Knowledge Graph systems in production
Semantic Foundations: Deep expertise in ontology modeling, taxonomy development, metadata architectures, and Property Graph models (e.g., Neo4j, Amazon Neptune, Cosmos DB)
Governance Expertise: Strong track record in enterprise Data Architecture and Governance, including hands-on experience with metadata lineage, data quality platforms, stewardship frameworks, and enterprise business glossaries
Cross-Domain Execution: Demonstrated ability to bridge technical AI/engineering teams and non-technical business stakeholders to drive consensus on data models
Technical Stack: Proficiency with graph query languages (Cypher, Gremlin, or SPARQL), graph databases, and modern data stack integration pattern (ETL/ELT pipelines, APIs, and cloud platforms)

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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More about this job

Responsibilities

Design and deploy scalable enterprise Knowledge Graph solutions and robust Data Governance frameworks. Bridge semantic data modeling with real-world applications to drive contextual AI and unified metadata management.

Requirements

Proven experience delivering production-grade Knowledge Graph systems and deep expertise in ontology and metadata architectures. Proficiency in graph query languages and the ability to collaborate across technical and business teams is required.

Skills

Knowledge Graph Engineering
Semantic Modeling
Data Governance
Metadata Management
Ontology Modeling
Taxonomy Development
Property Graph Models
Cypher
Gremlin
SPARQL
Neo4j
Amazon Neptune
Cosmos DB
ETL/ELT Pipelines
Graph-RAG
Data Architecture

Benefits

Career Development Opportunities

Visa sponsorship

Not detected in the job text

Keywords

Knowledge Graph
Data Governance
Semantic Web
Ontology
Taxonomy
Metadata Management
Property Graph
Neo4j
Amazon Neptune
Cosmos DB
Cypher
Gremlin
SPARQL
Graph-RAG
LLM
Data Fabric
Data Mesh
ETL
ELT
Data Lineage
Data Stewardship
Data Quality
AI
Machine Learning
Data Architecture
Forward Deployed Engineer
Consulting
Enterprise Data
Contextual AI
Metadata Models

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