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Manager Knowledge Graph Jobs (NOW HIRING)

Squirro

Knowledge Graph Engineer

New York, NY · Remote

Manage client engagements from pre-sales through onboarding, deployment, and training, ensuring successful adoption of knowledge graphbased solutions. * Semantic Modeling & Knowledge Graph Design:

Squirro

Knowledge Graph Engineer

New York, NY · On-site

Manage client engagements from pre-sales through onboarding, deployment, and training, ensuring successful adoption of knowledge graph-based solutions. * Semantic Modeling & Knowledge Graph Design:

Squirro

Knowledge Graph Engineer

New York, NY · On-site

Manage client engagements from pre-sales through onboarding, deployment, and training, ensuring successful adoption of knowledge graph-based solutions. * Semantic Modeling & Knowledge Graph Design:

ADDSOURCE

Knowledge Graph Engineer

Charlotte, NC · On-site

Knowledge Graph Engineer Location: Hybrid role for the US PA Area, Dallas, Charolette NC, can also ... Data Engineering and Information Management Fundamentals Strong data engineering background with a ...

New

CYNET SYSTEMS

Knowledge Graph Architect/ Lead

San Jose, CA · On-site

$55 - $60/hr

... managing graph ingestion, semantic enrichment, lineage, and relationship modeling processes. * 1+ years of experience in integrating Knowledge Graph with Data Catalogs, data pipelines, APIs, and AI ...

Point72

Data Engineer, Knowledge Graph

New York, NY · On-site

$125K - $150K/yr

Our industry researchers, product managers, and data scientists and engineers work together to ... Define and implement best practices for knowledge graph development, implementation, and ...

Point72

Data Engineer, Knowledge Graph

New York, NY · On-site

$125K - $150K/yr

Our industry researchers, product managers, and data scientists and engineers work together to ... Define and implement best practices for knowledge graph development, implementation, and ...

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How much do manager knowledge graph jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for manager knowledge graph in the United States is $26.35, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $32.69 per hour, depending on experience, location, and employer.

What is the difference between Manager Knowledge Graph vs Data Analyst?

AspectManager Knowledge GraphData Analyst
Required CredentialsBachelor's degree in Computer Science, Data Science, or related field; knowledge of graph databasesBachelor's degree in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentCollaborative teams, often in tech or data-driven companiesOffice setting, analyzing data sets, creating reports
Industry UsageUsed in AI, semantic web, knowledge management projectsUsed across finance, marketing, healthcare for data insights

The Manager Knowledge Graph focuses on designing and managing knowledge graph systems, requiring expertise in graph databases and data modeling. Data Analysts primarily interpret data to generate insights, using statistical tools. While both roles work with data, the Manager Knowledge Graph is more technical and system-oriented, whereas Data Analysts focus on data interpretation and reporting.

What cities are hiring for Manager Knowledge Graph jobs? Cities with the most Manager Knowledge Graph job openings:
What are the most commonly searched types of Knowledge Graph jobs? The most popular types of Knowledge Graph jobs are:
What states have the most Manager Knowledge Graph jobs? States with the most job openings for Manager Knowledge Graph jobs include:
Manager Knowledge Graph jobs near you

Knowledge Graph Engineer

Futran Tech Solutions Pvt. Ltd.

Remote

Full-time

Re-posted 27 days ago

Job description

Job Description2 (knowledge graph engineer)
Remote
Responsibilities:
The ideal candidate will have expertise in designing, implementing, and optimizing graph databases, with a strong focus on utilizing Neo4j or other graph databases for knowledge graph applications. The role involves contributing to the development and maintenance of our data infrastructure, ensuring efficient handling of complex relationships.
  • Design and implement graph databases to efficiently store and retrieve high-dimensional data.
  • Utilize Neo4j for creating and managing knowledge graphs, ensuring optimal performance and scalability.
  • Develop and maintain knowledge graphs using Neo4j, incorporating domain-specific data and relationships.
  • Implement graph algorithms to extract meaningful insights from the knowledge graph.
  • Optimize database queries, finetune graphs, indexing strategies for graph operations.
  • Identify and resolve performance bottlenecks to ensure efficient data retrieval.
  • Collaborate with application developers to integrate graph databases, knowledge graphs into various software solutions.
  • Provide support for query optimization and data modeling for application-specific requirements.
  • Implement and maintain data security measures for graph databases and knowledge graphs.
  • Ensure compliance with relevant data protection regulations and industry standards.
  • Work closely with cross-functional teams, including data scientists, software engineers, and product managers.
  • Communicate technical concepts and solutions effectively to both technical and non-technical stakeholders.

Technical skills:
  • Understanding of graph data model paradigms (LPG, RDF) and graph languages (Gremlin & SparQL are optional), hands-on experience is required
  • Solid understanding of graph data modeling, graph schema development, graph data design.
  • Familiarity with machine learning and GenAI concepts related to graph data.
  • Experience with cloud-based database solutions and knowledge of distributed database systems.
  • Proven experience in designing and implementing graph databases, knowledge graph with a focus on Neo4j or other like Neptune/Cosmos/TigerGraph etc. for knowledge graph applications.
  • Strong proficiency in database optimization, performance tuning, and query languages.
  • Familiarity with graph algorithms and data modeling for knowledge graphs.
  • Experience with other relevant programming languages, such as Python, Java, or Scala.
  • Experience with CI/CD tools (e.g., Jenkins or equivalent), version control (Git), orchestration/DAGs tools (AWS Step Functions, Airflow, Luigi, Kubeflow, or equivalent).
  • Excellent problem-solving skills and the ability to work in a collaborative team environment.

Soft skills:
  • Strong work ethic and desire to produce quality results
  • Consistently and proactively communicates (verbally/written) to stakeholders (progress/roadblocks/etc.)
  • Continuous Improvement mindset and approach to work product
  • Ability to take complex subjects and simplify it to less technical individuals
  • Provides clear documentation of processes, workflows, recommendations, etc.
  • High level of critical thinking capabilities
  • Organized and has the ability to manage work effectively, escalating issues as appropriate
  • Takes initiative & is a self-starter
  • Displays ownership of their work (quality, timeliness)
  • Seeks to become an expert in their field and shares their expertise through recommendations, proactive communications/actions and peer sharing/coaching where relevant
  • Should be able to communicate with stakeholders directly and independently
  • Should have good problem solving skills

Candidate Profile:
  • 8+ years of experience working with data engineering with atleast 2-3 years of experience working on graph databases.
  • Bachelor's/Master's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply
  • Outstanding written and verbal communication skills
  • Superior analytical and problem solving skills
  • Experience in working in dual shore engagement is preferred
  • Must have experience in managing clients directly
  • Strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work
  • Able to work in fast pace continuously evolving environment and ready to take up uphill challenges
  • Is able to understand cross cultural differences and can work with clients across the globe

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