Data Architect with AI

• Design, develop, and maintain data architectures and models specifically leveraging graph database technologies (e.g., Neo4j, Amazon Neptune, TigerGraph).
• Collaborate with data scientists, data engineers, and domain experts to understand data requirements and translate them into scalable graph data models and solutions.
• Develop ETL/ELT processes for ingesting, transforming, and loading data into graph databases, ensuring data integrity, quality, and consistency.
• Optimize data storage and retrieval for performance, query efficiency, and scalability in graph environments.
• Implement data governance and security best practices in accordance with organizational policies.
• Analyze complex datasets to identify relationships and create knowledge graphs that support insights and innovation.
• Ensure seamless integration with other data platforms, APIs, and services within the overall data ecosystem.
• Provide technical leadership, documentation, and standards for graph data architecture.
• Stay updated with the latest trends and advancements in graph technology and data architectur e.

• Proven experience as a Data Architect, Data Engineer, or in a similar role with a focus on graph databases.
• Experience with .NET development. (Must have)
  
  
  Automation Testing (Playwright, Python)
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Qualifications