August 22
🏢 In-office - Manhattan
• Lead the design, implementation, and optimization of the knowledge graph. • Oversee the integration of new data sources, ensuring the graph remains accurate and up-to-date. • Collaborate with the engineering team to ensure the robustness and scalability of the graph database. • Design and implement graph algorithms to derive insights and improve data connectivity. • Utilize graph query languages, such as Cypher or AQL, to query and manipulate graph data efficiently. • Mentor and guide junior team members, ensuring best practices in graph database management and development. • Conduct code reviews and ensure the quality of the codebase. • Collaborate with product and business stakeholders to understand requirements and translate them into technical solutions.
• 7+ years of experience in software engineering, with a focus on graph databases. • Expertise in developing and scaling knowledge graphs and managing databases with Neo4j, ArangoDB, and Postgres • Strong programming skills in Golang and Python. • Experience in data management, graph algorithms, graph data structures, and building scalable solutions. • Strong leadership skills and proven experience leading a technical team. • Excellent problem-solving abilities and ability to think analytically.
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