Graph DBA

Worth AI, a leader in the computer software industry, is looking for a talented and experienced Graph Database Administrator to join their innovative team. At Worth AI, we are on a mission to revolutionize decision-making with the power of artificial intelligence while fostering an environment of collaboration, and adaptability, aiming to make a meaningful impact in the tech landscape.. Our team values include extreme ownership, one team and creating reaving fans both for our employees and customers.As a Graph Database Administrator you will design, build, and operate the core data services that power our products and analytics. You’ll own end-to-end data pipelines and API services that ingest, process, and expose high-quality data to internal customers (data science, analytics, product, and other engineering teams) and external partners.You’ll be part of a small, high-impact team that treats the data platform as a product with strong SLAs, and reliable self-service for internal and external users.ResponsibilitiesWhat you’ll do:Architect and implement entity resolution logic to de-duplicate and link disparate data points into unified "Golden Records" for businesses and individualsDesign and maintain a high-performance global business knowledge graph and ontology to map complex ownership chains, UBOs, and hidden risk relationships across international bordersImplement a hybrid storage strategy that bridges graph databases for relationship mapping with document and search stores for rich metadata and adverse media contentOptimize the platform for real-time risk assessment, ensuring the ability to traverse multiple levels of ownership in milliseconds to support automated "Go/No-Go" onboarding decisions Design and build scalable data services and APIs for ingesting, transforming, and serving data across the companyDevelop and maintain batch and streaming data pipelines using modern data processing frameworks and AWS cloud-native toolingOwn the reliability, performance, and API first data platform, including monitoring, alerting, and on-call where appropriateImplement best practices for data modeling, quality, lineage, and governance to ensure trustworthy, well-documented datasetsWork closely with data scientists, analysts, and application engineers to understand their needs and translate them into robust platform capabilitiesDrive automation and standardization through CI/CD, model as a service, and reproducible environments Help define and evolve the architecture of our data platform as a true internal service with clear contracts, SLAs, and versioned APIs