Senior Data Engineer

Who We Are 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. The Role As an AI Data Engineer at Kyndryl, you will serve as the architect behind the high-performance data infrastructure that powers our autonomous systems. Rather than simply moving tables, you will build the real-time, scalable data pipelines that enable agentic AI to reason over the world's most complex enterprise environments. 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 required to help define what comes next in enterprise AI data infrastructure. Key Responsibilities Pipeline Design & Engineering: Design, develop, and maintain high-performance, scalable ETL/ELT data pipelines using core Microsoft Azure services for both structured and unstructured data. System Integration: Implement robust data integration solutions across multi-source enterprise environments, utilizing REST APIs, Azure Event Hubs, and Azure Functions. Architecture & Optimization: Build reusable data frameworks, establish coding standards, and continuously optimize data processing workflows for maximum performance and cost efficiency. Data Governance & Security: Enforce data quality, security, compliance, and governance protocols across all data assets while managing secure access via Azure Key Vault and Microsoft Entra ID. Operations & CI/CD: Monitor, troubleshoot, and maintain Azure-based data pipelines, implementing CI/CD pipelines and maintaining comprehensive system documentation. Cross-Functional Collaboration: Partner with cross-functional technical teams to support downstream analytics, reporting, and advanced machine learning initiatives. Programming Core: Strong proficiency in SQL and Python, PySpark expertise, and a solid understanding of data modeling principles. Basic working knowledge of Java is preferred. Azure Expertise: Demonstrated hands-on experience with Azure Data Factory (ADF), Azure Databricks, Azure Blob Storage, Azure Analytics, Azure SQL Database, Azure Monitor, Azure Key Vault, and Microsoft Entra ID. Big Data & Integration: Deep familiarity with Apache Spark, Databricks, event-driven architecture (Azure Event Hubs), serverless computing (Azure Functions), and API integrations. Your future at Kyndryl This role opens the door to many career paths, both vertical and horizontal, and there may be opportunity to travel. It's a great chance for database administrators or other techs to break into the cloud. It's also a solid path to become enterprise or chief architect or a distinguished engineer! Whatever you see for yourself, you'll find the opportunity here. Who You Are You're good What you do and possess the required experience to prove it. However, equally as important - you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused - someone who prioritizes customer success in their work. And finally, you're open and borderless - naturally inclusive in how you work with others. Required Qualifications Experience: 6-8+ years of core Data Engineering experience, with at least 3+ years of dedicated, hands-on experience building enterprise-scale solutions using Microsoft Azure data services. Core Technical Skills: Strong proficiency in Python, S