Data & Platform Analyst - Real Estate Portfolio

About the role

At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world's leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people-Kyndryls-that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive. Your role As an AI Data Engineer at Kyndryl, you'll be the architect behind the high-performance data infrastructure that powers our autonomous systems. We aren't just moving tables; we're building the real-time pipelines that allow agentic AI to reason over the world's most complex enterprise environments. Join Kyndryl and gain the trust, autonomy and teamwork to help define what comes next.

Responsibilities

• Orchestrate Intelligence
• Architect for RAG: You'll design and scale the pipelines for Retrieval-Augmented Generation (RAG), transforming massive volumes of unstructured IT logs and documentation into optimized Vector Embeddings.
• Scale vector infrastructure: You will be responsible for the health and performance of our vector databases (e.g., Pinecone, Milvus, or Weaviate), ensuring sub-second retrieval speeds for agentic reasoning loops.
• Master Data Transformation
• Engineer semantic layers: Move beyond simple ETL to build knowledge graphs and semantic layers that provide agents with the necessary context to navigate complex infrastructure puzzles.
• Automate data excellence: Using a keen eye for detail, you'll build automated data guardrails to detect noise, bias, or PII (Personally Identifiable Information) before it reaches the model, ensuring our AI remains safe and impactful.
• Own the Backbone
• Solve meaningful challenges: Serve as the bridge between raw, messy data sources and deep technical AI work, identifying and resolving quality issues at the source.
• Progress to production: With a well-defined methodology and software engineering prowess, you will build, deploy, and maintain the CI/CD pipelines for our data infrastructure, ensuring that our context window remains fresh and reliable.

Requirements

• Required skills and experience
• Expertise in data mining, data storage and Extract-Transform-Load (ETL) processes
• Experience in data pipelines development and tooling, e.g., Glue, Databricks, Synapse, or Dataproc
• Experience with both relational and NoSQL databases, PostgreSQL, DB2, MongoDB
• Excellent problem-solving, analytical, and critical thinking skills
• Ability to manage multiple projects simultaneously, while maintaining a high level of attention to detail
• Ability to communicate with both technical and non-technical colleagues, to derive and translate technical requirements from business needs
• Preferred skills and experience
• Experience working as a Data Engineer and/or in cloud modernization
• Experience in Data Modelling, to create conceptual model of how data is connected and how it will be used in business processes
• Professional certification, e.g. Open Certified Technical Specialist with Data Engineering Specialization
• Cloud platform certification, e.g. AWS Certified Data Analytics - Specialty, Elastic Certified Engineer, Google Cloud Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate
• Understanding of social coding and Integrated Development Environments, e.g. GitHub and Visual Studio
• Degree in a scientific discipline, such as Computer Science, Software Engineering, or Information Technology
• Being You
• What You Can Expect
• From your very first day, you'll dive into impactful work that powers the systems our customers rely on every

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