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We are an innovative technology startup at the forefront of developing cutting-edge AI solutions powered by knowledge graph data models. We’re seeking an exceptional Database Engineer who will work directly with our CTO to architect and implement our core platform.
This is a foundational role that will shape the future of our company’s technical direction and innovation strategy. The ideal candidate will bridge the worlds of traditional database architecture and modern knowledge graph technologies, bringing a strong foundation in relational databases while embracing the power of semantic data modeling. You’ll be instrumental in designing scalable knowledge graph structures that support advanced AI applications, making strategic technical decisions that will define our product’s capabilities.Define and implement the architectural vision for our knowledge graph-based AI solutionsBuild innovative solutions that challenge traditional data modeling approachesCollaborate closely with AI engineers to optimize knowledge graph structures for machine learning applicationsWe’re looking for someone who combines technical expertise with strategic thinking, as you’ll be both architecting solutions and actively implementing them. Your experience in Financial Services or FMCG industries will provide valuable domain knowledge as we develop solutions for these sectors, while your willingness to learn and implement ontology design concepts will be crucial for our knowledge graph foundation. This role offers a unique opportunity to be at the cutting edge of AI and knowledge graph technologies, working directly with senior leadership to build something truly innovative from the ground up.Co-lead the architectural design and development of our core AI solution’s knowledge graph infrastructure alongside the CTODesign and implement scalable graph database architectures that support advanced AI applicationsDevelop proof-of-concepts and prototypes to validate new architectural approachesArchitect hybrid solutions that effectively combine relational and graph databases for optimal performanceCollaborate with AI engineers to optimize knowledge graph structures for machine learning applicationsDrive technical decision-making for database technologies and data modeling approachesWork directly with clients and stakeholders to understand requirements and present technical solutionsThe role requires you too balance strategic architectural decisions with practical implementation. As a key member of our founding technical team, you’ll have significant influence over our technical direction and the opportunity to shape the future of AI-powered knowledge graph solutions.Bachelor’s degree in Computer Science, Mathematics, Information Systems, or related fieldExpert-level SQL skills Experience with at least one graph database Experience with data modeling in both relational and graph contextsExperience with ETL processes and data integrationObject-Oriented Programming: Strong understanding of OOP principles and patternsGraph Databases: Neo4j, Amazon Neptune, or similarBasic understanding of REST APIs and microservicesKnowledge of graph theory and network analysisExperience with mathematical optimization techniquesUnderstanding of algorithmic complexity and efficiencyUnderstanding of financial data structures and regulations or, experience with supply chain or consumer data analytics Knowledge of master data management practicesExperience with Oracle or SQL Server Enterprise featuresStrong analytical and problem-solving abilitiesSelf-motivated learner with enthusiasm for semantic technologiesCollaborative and innovative work environment
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