Ne04J Graph DB Engineering developerArchitect

Job Title: Ne04J - Graph DB Engineering developer/ArchitectLocation: Phoenix, AZ (Hybrid)Employment Type: W2Specialized ResponsibilitiesServe as a key contributor in designing and delivering graph data solutions, partnering with stakeholders to translate business needs into connected data models and graph architectures.Engineer and maintain Neo4j graph databases alongside relational and non-relational systems to support hybrid data environmentsDevelop and operationalize relationship-based data models, including nodes, edges, and properties aligned to enterprise business domainsDesign and implement knowledge graphs and connected data platforms that unify disparate data sources and expose relationships across systems. Build and optimize graph ingestion pipelines for batch and streaming data sources, ensuring data freshness and integrityDevelop mechanisms and architectures to support business line–specific use cases. Establish standards and best practices for graph modeling, schema evolution, and governance within the enterprise data ecosystem. Review and manage interfaces supporting graph data access, including APIs, visualization tools, and analytics platforms.Partner with data science and analytics teams to enable graph-based feature engineering and machine learning integration.Preferred Technical ExpertiseDeep expertise in Neo4j platform capabilities, including clustering, security, and enterprise deployment patternsExperience in graph data modeling and ontology design for complex enterprise datasetsKnowledge of connected data architecture patterns, including knowledge graphs and data fabricsExperience integrating graph platforms with big data ecosystems (Spark, Kafka, etc.) and cloud-native servicesStrong understanding of query optimization, indexing, and graph performance tuningExperience with data ingestion frameworks supporting both batch and real-time pipelinesProficiency in PythonPreferred Qualifications10+ years of experience in data engineering, including leading engineers and technical teamsProven experience implementing Neo4j in enterprise environmentsFamiliarity with machine learning and AI techniques leveraging graph dataExperience working in Agile environments and leading cross-functional delivery teamsExperience with visualization and BI tools for graph-derived insights (e.g., KeyLines, Bloom)Modernization and Architecture ExpectationsAdvance the organization's data architecture toward connected, relationship-driven models, complementing existing platformsEstablish graph-first design patterns where relationship complexity drives business valueIntegrate Neo4j into the broader enterprise data ecosystem (cloud, lakehouse, streaming platforms)Promote adoption of knowledge graphs and semantic modeling to improve interoperability and reuseImplement scalable, resilient graph data platforms aligned with enterprise security and compliance standardsStandardize graph engineering practices, including modeling guidelines, performance tuning, and operational monitoringPartner with architecture leadership to define the future-state connected data vision, aligned with digital and AI strategiesFlexible work from home options available.