Data & Platform Analyst – Real Estate Portfolio

About the role

As a Data & Platform Analyst focused on a real‑estate portfolio, you will design, build, and operate high‑performance data infrastructure that powers AI‑driven insights for Kyndryl’s enterprise customers. You will bridge raw, unstructured data sources with advanced analytics, ensuring the data backbone remains reliable, secure, and ready for autonomous reasoning.

Key responsibilities

• Design and scale Retrieval‑Augmented Generation (RAG) pipelines that convert massive IT logs and documentation into vector embeddings.
• Maintain and optimise vector databases such as Pinecone, Milvus, or Weaviate to achieve sub‑second retrieval for AI agents.
• Develop semantic layers and knowledge graphs that provide contextual understanding for complex infrastructure queries.
• Implement automated data guardrails to detect noise, bias, or personally identifiable information before it reaches AI models.
• Build, deploy, and maintain CI/CD pipelines for data infrastructure, ensuring continuous freshness of the context window.

Required profile

• Strong analytical and problem‑solving abilities with attention to detail.
• Experience translating business requirements into technical data solutions.
• Ability to collaborate with both technical and non‑technical stakeholders.

Required skills

• Data mining and data storage concepts
• Extract‑Transform‑Load (ETL) processes
• Data pipeline tooling (AWS Glue, Databricks, Azure Synapse, Google Dataproc)
• Relational and NoSQL databases (PostgreSQL, DB2, MongoDB)
• Vector database technologies (Pinecone, Milvus, Weaviate)
• Knowledge graph and semantic layer development