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Graph Database Jobs in Ontario (NOW HIRING)

Tiger Analytics Inc.

Knowledge Graph SME

Toronto, ON · On-site

Hands-on experience with Python (NetworkX), RDF/SPARQL, or SQL Graph databases is a plus. Benefits Significant career development opportunities exist as the company grows. The position offers a ...

Amd

ON

Depth in at least one memory/context storage paradigm - vector databases, graph databases, or hybrid retrieval architectures - and informed opinions about when each is wrong * Experience designing ...

ShyftLabs

AI Engineer Intern

Toronto, ON · Hybrid

CA$20 - CA$30/hr

Design context-engineering and retrieval pipelines using vector and graph databases. * Implement AI guardrails for safety, security, access control, data privacy, and policy enforcement. * Create ...

Citi

Senior Agentic AI Engineer

Mississauga, ON · On-site

Practical experience designing knowledge graphs and Graph RAG pipelines (e.g., using graph databases such as Neo4j or ArangoDB) for relationship-aware, multi-hop retrieval Proven experience building ...

Autodesk

Principal Engineer - Search AI

Toronto, ON · On-site

CA$131K - CA$191K/yr

Exposure to Knowledge Graph/ Graph Databases * Experience in monitoring and improving Reliability of a complex system at scale. * Aware of Security and Compliance challenges in Cloud products and/or ...

Autodesk

Principal Software Developer

Toronto, ON · On-site

CA$131K - CA$191K/yr

Exposure to Knowledge Graph/ Graph Databases * Experience in monitoring and improving Reliability of a complex system at scale. * Aware of Security and Compliance challenges in Cloud products and/or ...

Citi

Agentic AI Technical Lead

Mississauga, ON · On-site

CA$120K - CA$170K/yr

Develop seamless integrations with graph and vector databases (such as Neo4j and pgvector) to power complex, thematic data retrieval. Prompt & Intent Engineering: Design robust LLM instructions and ...

Citi

Agentic AI Tech Lead

Mississauga, ON

CA$120K - CA$170K/yr

Develop seamless integrations with graph and vector databases (such as Neo4j and pgvector) to power complex, thematic data retrieval. Prompt & Intent Engineering: Design robust LLM instructions and ...

Proofpoint

Staff Software Engineer

Toronto, ON

Experience with graph databases (Neptune, Neo4J, etc.) * Cloud experience (AWS, GCP, Azure, or similar) * Familiarity with edge-to-cloud and multi-cloud/hybrid environments * Exposure to AI/ML data ...

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All JobsGraph Database JobsGraph Database Jobs in Ontario

Graph Database information

See Ontario salary details

$31K

$119.6K

$157.5K

How much do graph database jobs pay per year?

As of Sep 2, 2026, the average yearly pay for graph database in Ontario is $119,572.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,000.00 and $147,000.00 per year, depending on experience, location, and employer.

What is a graph database?

A Graph Database job typically involves working with graph-based database technologies such as Neo4j, ArangoDB, or Amazon Neptune. Professionals in this role design, implement, and optimize graph database models to efficiently store and retrieve complex relationships between data points. Common responsibilities include data modeling, query optimization using graph query languages (e.g., Cypher, Gremlin), and integrating graph databases into larger data ecosystems. These roles are often found in industries like fraud detection, social networking, and recommendation systems, where understanding relationships between data is crucial.

What are the key skills and qualifications needed to thrive in the graph database position, and why are they important?

To thrive as a Graph Database Engineer, you need expertise in data modeling, query languages such as Cypher or Gremlin, and a solid understanding of graph theory and database architectures. Familiarity with graph database platforms like Neo4j, Amazon Neptune, or TigerGraph, as well as certifications in relevant technologies, are highly valued. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for collaborating with development and analytics teams. These competencies are vital for designing efficient graph data solutions, optimizing performance, and supporting business insights through connected data analysis.

What are some common challenges faced by professionals working with graph databases?

One common challenge when working with graph databases is efficiently modeling highly connected data structures to optimize for both query performance and scalability. Professionals must continuously evaluate indexing strategies and traversal queries to prevent bottlenecks as datasets grow. Another challenge is integrating graph databases with existing data pipelines or relational systems, which often requires specialized knowledge. However, these challenges offer opportunities to innovate and collaborate with cross-functional teams to deliver powerful solutions for complex data relationships.

What are popular job titles related to Graph Database jobs in Ontario?

For Graph Database jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Graph Database jobs in Ontario look for?

The top searched job categories for Graph Database jobs in Ontario are:

Graph Database jobs near you
Infographic showing various Graph Database job openings in Ontario as of August 2026, with employment types broken down into 81% Full Time, 15% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $119,572 per year, or $57.5 per hour.

Knowledge Graph SME

Tiger Analytics Inc.

Toronto, ON

Full-time

Posted 6 days ago

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 seeking a Senior Knowledge Graph SME to lead the architecture, design, and implementation of an enterprise Knowledge Graph for a major client. Bringing a minimum of 6 years of hands-on experience in data governance and graph implementations, you will bridge technical graph development with strategic data governance frameworks. You will model complex data ecosystems across ontology, taxonomy, end-to-end lineage, data sources, critical data elements (CDEs), and quality metrics. Located in Toronto, you will act as a primary partner to business leadership, translating business needs into performant Neo4j graph structures.

Responsibilities

  • Graph Architecture Development: Lead end-to-end design and deployment of enterprise knowledge graphs using Neo4j and Cypher.
  • Governance Framework Integration: Embed deep data governance principles into graph structures-mapping ontologies, taxonomies, data lineage, source systems, CDEs, and data quality metrics.
  • Stakeholder Facilitation: Act as the primary SME in the Toronto office, interfacing directly with business leaders, data stewards, and tech teams to drive adoption and define data definitions.
  • Hybrid Data Management: Oversee graph and metadata governance integrations across both legacy on-premise and modern cloud infrastructures.
  • Query & Schema Optimization: Write, test, and tune complex Cypher queries and schema designs to ensure high performance at enterprise scale.

Requirements

  • Seniority Experience: 6+ years of dedicated, practical experience implementing enterprise Data Governance frameworks and building production Knowledge Graphs.
  • Core Tech Stack: Proven track record building and deploying production graphs using Neo4j and advanced Cypher query language.
  • Location & Presence: Must be based in Toronto (or in Canada with full commitment to work on-site in Toronto full-time for the first 3 months minimum).
  • Communication: Good communication and presentation skills, with a track record of driving consensus among non-technical business executives.
  • Environment Expertise: Demonstrated background governing data across combined on-premise and cloud architectures.

Good to have:

  • Domain Background: Prior experience in Banking or Financial Services (highly preferred).
  • Additional Graph Methods: Hands-on experience with Python (NetworkX), RDF/SPARQL, or SQL Graph databases is a plus.

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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