Raw description: "<div><strong>Job Title: Lead Graph Developer</strong></div><div><strong>Location: Pittsburgh, PA/ Cleveland, OH (Hybrid)</strong></div><div> <strong>Employment Type:</strong> <strong>Full-Time </strong> </div><div><br></div><div><strong>Job Summary:</strong></div><div>We are seeking an experienced <strong>Lead Graph Developer</strong> to architect, design, and implement cutting-edge graph-based data solutions. In this role, you will lead the development of large-scale graph data models, integrate graph databases with enterprise systems, and build graph-powered applications to support complex querying, analytics, and recommendation use cases.</div><div>You will collaborate with data scientists, software engineers, and business stakeholders to deliver performant and scalable graph solutions using technologies like <strong>Neo4j, Amazon Neptune, TigerGraph</strong>, or <strong>RDF triple stores</strong>.</div><div><br></div><div><br></div><div><strong>Key Responsibilities:</strong></div><ul> <li>Lead the architecture, design, and implementation of graph-based data solutions.</li> <li>Model complex relationships using <strong>Labeled Property Graphs (LPG)</strong> or <strong>RDF/OWL</strong> depending on use case.</li> <li>Develop and optimize queries using <strong>Cypher</strong>, <strong>Gremlin</strong>, <strong>SPARQL</strong>, or similar graph query languages.</li> <li>Collaborate with engineering teams to integrate graph databases with APIs, microservices, or existing data platforms.</li> <li>Work closely with stakeholders to define graph use cases (e.g., recommendation engines, fraud detection, knowledge graphs).</li> <li>Implement data ingestion pipelines to load, transform, and maintain graph datasets.</li> <li>Ensure scalability, performance, and security best practices in graph solutions.</li> <li>Mentor junior developers and promote best practices in graph modeling and query design.</li> <li>Contribute to proof-of-concepts and evaluate new tools and frameworks in the graph space.</li> <li>Document architecture, design decisions, and graph schemas for reusability and governance.</li> </ul><div><br></div><div><br></div><div><strong>Required Skills & Qualifications:</strong></div><ul> <li>10+ years of experience in software development or data engineering roles.</li> <li>3+ years of <strong>hands-on experience with graph database technologies</strong> (Neo4j, Amazon Neptune, TigerGraph, Stardog, etc.).</li> <li>Proficient in one or more <strong>graph query languages</strong>: Cypher, Gremlin, SPARQL.</li> <li>Strong knowledge of <strong>data modeling</strong>, schema design, and semantic technologies (RDF/OWL a plus).</li> <li>Experience with <strong>Python, Java, or Scala</strong> for integration and data pipeline development.</li> <li>Familiarity with <strong>data integration tools</strong>, <strong>ETL pipelines</strong>, and APIs for graph ingestion.</li> <li>Strong understanding of <strong>cloud services</strong> (AWS, GCP, or Azure), especially managed graph solutions.</li> <li>Experience working in Agile development teams and version-controlled environments (Git, CI/CD).</li> <li>Excellent problem-solving, communication, and leadership skills.</li> </ul><div><br></div><div><strong>Preferred Qualifications:</strong></div><ul> <li>Experience with <strong>knowledge graphs</strong>, <strong>entity resolution</strong>, or <strong>ontology design</strong>.</li> <li>Familiarity with <strong>machine learning</strong> or <strong>graph-based AI</strong> use cases.</li> <li>Prior experience with <strong>graph visualization tools</strong> (Bloom, Gephi, Linkurious).</li> <li>Certifications in Neo4j, AWS Neptune, or relevant cloud/graph platforms.</li> </ul><div><br></div><div><strong>Technologies / Tools:</strong></div><ul> <li>Graph Databases: Neo4j, Amazon Neptune, TigerGraph, JanusGraph</li> <li>Languages: Cypher, Gremlin, SPARQL, Python, Java, Scala</li> <li>Cloud Platforms: AWS (Lambda, S3, Glue), GCP, Azure</li> <li>DevOps: Git, Jenkins, Docker, Kubernetes</li> <li>Visualization: Neo4j Bloom, Gephi, GraphXR</li> </ul>\n"
<div><strong>Job Title: Lead Graph Developer</strong></div><div><strong>Location: Pittsburgh, PA/ Cleveland, OH (Hybrid)</strong></div><div> <strong>Employment Type:</strong> <strong>Full-Time </strong> </div><div><br></div><div><strong>Job Summary:</strong></div><div>We are seeking an experienced <strong>Lead Graph Developer</strong> to architect, design, and implement cutting-edge graph-based data solutions. In this role, you will lead the development of large-scale graph data models, integrate graph databases with enterprise systems, and build graph-powered applications to support complex querying, analytics, and recommendation use cases.</div><div>You will collaborate with data scientists, software engineers, and business stakeholders to deliver performant and scalable graph solutions using technologies like <strong>Neo4j, Amazon Neptune, TigerGraph</strong>, or <strong>RDF triple stores</strong>.</div><div><br></div><div><br></div><div><strong>Key Responsibilities:</strong></div><ul> <li>Lead the architecture, design, and implementation of graph-based data solutions.</li> <li>Model complex relationships using <strong>Labeled Property Graphs (LPG)</strong> or <strong>RDF/OWL</strong> depending on use case.</li> <li>Develop and optimize queries using <strong>Cypher</strong>, <strong>Gremlin</strong>, <strong>SPARQL</strong>, or similar graph query languages.</li> <li>Collaborate with engineering teams to integrate graph databases with APIs, microservices, or existing data platforms.</li> <li>Work closely with stakeholders to define graph use cases (e.g., recommendation engines, fraud detection, knowledge graphs).</li> <li>Implement data ingestion pipelines to load, transform, and maintain graph datasets.</li> <li>Ensure scalability, performance, and security best practices in graph solutions.</li> <li>Mentor junior developers and promote best practices in graph modeling and query design.</li> <li>Contribute to proof-of-concepts and evaluate new tools and frameworks in the graph space.</li> <li>Document architecture, design decisions, and graph schemas for reusability and governance.</li> </ul><div><br></div><div><br></div><div><strong>Required Skills & Qualifications:</strong></div><ul> <li>10+ years of experience in software development or data engineering roles.</li> <li>3+ years of <strong>hands-on experience with graph database technologies</strong> (Neo4j, Amazon Neptune, TigerGraph, Stardog, etc.).</li> <li>Proficient in one or more <strong>graph query languages</strong>: Cypher, Gremlin, SPARQL.</li> <li>Strong knowledge of <strong>data modeling</strong>, schema design, and semantic technologies (RDF/OWL a plus).</li> <li>Experience with <strong>Python, Java, or Scala</strong> for integration and data pipeline development.</li> <li>Familiarity with <strong>data integration tools</strong>, <strong>ETL pipelines</strong>, and APIs for graph ingestion.</li> <li>Strong understanding of <strong>cloud services</strong> (AWS, GCP, or Azure), especially managed graph solutions.</li> <li>Experience working in Agile development teams and version-controlled environments (Git, CI/CD).</li> <li>Excellent problem-solving, communication, and leadership skills.</li> </ul><div><br></div><div><strong>Preferred Qualifications:</strong></div><ul> <li>Experience with <strong>knowledge graphs</strong>, <strong>entity resolution</strong>, or <strong>ontology design</strong>.</li> <li>Familiarity with <strong>machine learning</strong> or <strong>graph-based AI</strong> use cases.</li> <li>Prior experience with <strong>graph visualization tools</strong> (Bloom, Gephi, Linkurious).</li> <li>Certifications in Neo4j, AWS Neptune, or relevant cloud/graph platforms.</li> </ul><div><br></div><div><strong>Technologies / Tools:</strong></div><ul> <li>Graph Databases: Neo4j, Amazon Neptune, TigerGraph, JanusGraph</li> <li>Languages: Cypher, Gremlin, SPARQL, Python, Java, Scala</li> <li>Cloud Platforms: AWS (Lambda, S3, Glue), GCP, Azure</li> <li>DevOps: Git, Jenkins, Docker, Kubernetes</li> <li>Visualization: Neo4j Bloom, Gephi, GraphXR</li> </ul>