Consulting Engineer (LATAM)

As a Consulting Engineer at Neo4j, you will work closely with enterprise customers to implement graph-powered solutions, contributing to all phases of the Neo4j implementation within their projects, from inception to roll-out. Partnering with customer engineering teams and Neo4j Principal/Senior Consulting Engineers, you will design graph data models, and help deliver successful Neo4j implementations from initial design through to production deployment. You will act as a trusted technical advisor during consulting engagements, working hands-on with Neo4j technology while helping customers adopt best practices for graph data modelling, application development, and modern AI-powered data architectures. You will also help customers solve complex data and analytics challenges by applying graph technology to deliver practical, production-ready solutions.

Responsibilities

Work closely with customer engineering teams to lead and contribute to Neo4j implementations across the full project lifecycle, from initial design through to production roll-out; Act as the technical subject matter expert on consulting engagements, providing hands-on guidance and technical leadership for succeeding with Neo4j technology; Design and implement graph data models that represent complex relationships and support high-performance querying and analytics; Architect and build solutions that meet both functional and non-functional requirements using Neo4j; Support modern data and AI architectures by structuring graph data to enable advanced analytics, search, and emerging AI patterns such as RAG/GraphRAG; Collaborate with customer AI and data teams to integrate Neo4j into modern orchestration frameworks such as LangChain or LlamaIndex; Provide guidance to customers on best practices for Data Engineering, focusing on optimizing data ingestion patterns into Neo4j; Develop solution architectures that address the technical requirements of customer projects; Translate complex technical concepts into clear guidance for customer engineers and stakeholders; Contribute to solution proposals, level of effort assessments, SOWs and technical recommendations for customer engineering and leadership teams; Train and mentor customer teams on Neo4j best practices and graph development techniques; Work collaboratively with Neo4j sales, sales engineering and support teams to ensure successful customer outcomes; Travel may be required depending on customer engagement needs

Requirements

Fluency in Brazilian Portuguese and proficiency in English; Bachelor's degree in Computer Science, Information Technology, or a related field; 3+ years of experience designing and developing enterprise-class applications, with a focus on data-driven or analytics-focused systems; Strong experience in data modelling and designing data structures for complex applications, with familiarity across relational, NoSQL, or graph databases; Experience designing scalable software architectures and working within modern application development environments; Practical experience in data engineering and structuring and optimizing data for modern search, analytics, or AI-driven applications; Competence and hands-on experience in at least one of the following languages: Java, JavaScript, Python, Go, or C#; Experience deploying applications on modern platforms such as Linux, Docker, or Kubernetes; Familiarity with source control and development workflows using tools such as Git; Strong problem-solving skills with the ability to work independently as well as collaboratively within a team; Excellent written and verbal communication skills, with the ability to clearly explain technical concepts in customer settings; Confidence presenting technical solutions and building strong customer relationships; Ability to work independently in a remote, cross-functional organization; Curiosity and enthusiasm for learning new technologies and development approaches; Willingness to travel to client sites as needed

Nice to have

Fluency or advanced skills/proficiency in Spanish; Master's degree; 2+ years working in a consultative capacity in a Professional Services organization; Industry experience in Financial Services, Life Sciences, Manufacturing, Technology; Experience working with graph databases such as Neo4j, TigerGraph, JanusGraph, or similar technologies; Familiarity with Snowflake or Databricks, and NoSQL/Relational providers such as MongoDB, Couchbase, or Teradata; Experience in data science related projects and packages e.g. SciLearn, Keras, TensorFlow etc; Experience working with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform