Embark on a vital role as a Data Modeler, where you'll architect current and future data landscapes. This position involves close collaboration with business stakeholders, data owners, end-users, application designers, and data architects.

The core of this role is to translate complex business needs into robust and efficient data models. You will be instrumental in shaping how data is structured, accessed, and utilized across the organization, ensuring alignment with both business objectives and technical feasibility. This collaborative effort drives innovation in data management and enhances overall data usability.

As a Data Modeler, you are expected to function as a subject matter expert and perform independently. Your contributions will be crucial in team discussions and problem-solving, offering effective solutions to work-related challenges.

You will partner with cross-functional teams to align data models with business and technical requirements, while also establishing and documenting data modeling standards and best practices. Additionally, you'll assist in resolving data-related issues to maintain data integrity and mentor junior team members by sharing expertise in data modeling techniques.

A minimum of 3 years of experience is required, with a specific focus on Graph Databases. Candidates must possess a strong understanding of data modeling concepts and techniques relevant to graph database technologies.

Demonstrated ability to design and optimize data models for performance and scalability within graph database environments is essential. Familiarity with graph query languages like Cypher or Gremlin, alongside an understanding of data integration and transformation processes for graph data, is highly valued. Strong analytical skills to interpret intricate data relationships and translate them into effective models are a must.