This role focuses on the design and development of our data platform. You will collaborate closely with Integration and Data Architects to ensure seamless system integration and robust data models. The position involves conceptualizing and refining the data platform blueprint, encompassing all its critical components and enhancing overall platform functionality.

Your expertise will be crucial in shaping the future of our data infrastructure, ensuring it is scalable, efficient, and aligned with business objectives. You'll be at the forefront of data architecture innovation.

Develop and maintain scalable data pipelines for ingesting, processing, and exposing graph data for various analytical and operational needs.

Engage in data modeling for graph databases, utilizing RDBMS as a source, and optimize data ingestion and query performance.

Create and deliver comprehensive Graph Solution documentation, securing necessary approvals.

Collaborate with cross-functional teams to drive data-driven initiatives and contribute to the evolution of the data platform.

A minimum of 3 years of dedicated experience in graph-based solutions, alongside 4+ years of overall IT experience is essential.

Proficiency in graph databases such as Neo4j, TigerGraph, or AWS Neptune is required, along with a strong understanding of graph data modeling and query languages like Cypher, Gremlin, GSQL, or SPARQL.

Solid experience in building scalable ETL pipelines, data transformation, and analytic projects is necessary. Familiarity with at least one programming language, including Python, Scala, or SQL, is also a requirement.

Possess strong analytical and technical solutioning skills in Data and Analytics, complemented by excellent communication and interpersonal abilities. A proactive approach to learning new skills is highly valued.