Role Overview We are seeking an experienced Senior Azure Data Engineer with a background as a Business Intelligence Architect. The ideal candidate will possess exceptional technical, analytical, communication, and project management skills. They will join our team of data and analytics experts to help organize and leverage our extensive data on work and people, supporting the development of a scalable, distributed data estate and its supporting applications. The role involves leveraging critical data assets, setting up data pipelines, transforming data, and advancing our data-to-insight capability, helping our data scientists create compelling insights as well as strategic AI applications and agents. Korn Ferry, AI Strategy and Transformation Team The job holder will be part of the Korn Ferry AI Strategy and Transformation team, within the Integration Pod. The team supports major business initiatives and transformational change and aims to maximize the value of data, IP, science, and analytics for Korn Ferry, and increasingly in the context of and leveraging AI (using our OpenAI infrastructure). Our Data Korn Ferry owns a unique suite of tools to collect, measure, and assess individual, team, and organizational performance. Our data includes individual assessment tools (psychometric assessments, cognitive ability tests, and multi-rater tools), team and organization-level assessments (measuring topics such as team performance, culture, and engagement), and has the world’s most highly regarded pay database on employee pay and benefits, and the world’s largest library of data-driven success profiles. About This Role As an Azure Data Engineer, you will ensure we have the necessary data to support clients with analytics by organizing and processing data at scale. Core activities include automating data ingestion from internal and external tools/platforms, identifying and linking individuals across different datasets/platforms for further analytics, creating sophisticated ETL processes using Azure Synapse pipelines, and providing Business Intelligence to establish the breadth, depth, and quality of the data. From a Business Intelligence perspective, you will help us turn data into insight. This includes creating data models, designing data structures, and ensuring data quality and accessibility to support data analysis and reporting needs. You will help design and implement BI solutions, develop data models, create complex algorithms, ensure data quality, and collaborate with stakeholders to meet their needs. You will be highly data conversant, comfortable and happiest in large and complex datasets, and able to quickly make sense of them, identifying strengths, gaps, or issues in the data – managing the quality of our data and understanding it will be perhaps as important as the outputs themselves. Korn Ferry works with clients worldwide. A strong understanding of local data residency laws and the ability to adapt to this changing landscape is essential. You will need to partner closely with colleagues in security, networking, privacy, and legal to ensure our solutions are robust and compliant. Additionally, you will collaborate with colleagues in our Digital business to align on data strategy and common solutions. Responsibilities Architecture Design : Contribute to the design, development, and maintenance of the Azure data estate architecture to meet business requirements while adhering to IT policies. Data Acquisition and Integration : Ensure feeds from various platforms are established, develop and maintained. Manage ingestion tools, storage accounts, and analytical applications. ETL Processes : Create ETL processes for optimal data extraction, transformation, and loading using Microsoft Azure tools and technologies. Data Pipeline Development/Testing : Test system reliability and performance, automate manual processes, optimize data delivery, and redesign infrastructure for scalability and data quality. Pipeline Stability : Monitor system performance and stability, ensuring automated tasks are working as designed. Data Management : Manage structured and unstructured data and metadata, ensuring availability of clean, transformed data to meet business needs. Business Intelligence Tools/Infrastructure : Set up solutions, tools, views, and access permissions for different user groups, enabling data viewing, report generation, and visualization. Data Strategy : Contribute to the broader organizational data strategy, including data privacy, infrastructure, network, security, legal, and governance practices. Skills/Qualifications A degree in Computer Science, Statistics, Information Technology, or a quantitative field. Microsoft Certified: Azure Data Engineer and Azure BI Certification for BI Developers are preferred. Critical Skills/Experience : How You Work : Supporting Skills : Understanding of machine learning and artificial intelligence libraries and frameworks (TensorFlow, Spark, etc.). AI Foundry Experience (Preferred) Experience with Azure AI Foundry, including building, deploying, and managing AI models and agents within the platform. Familiarity with AI Foundry's unified development environment for designing end-to-end AI solutions, integrating with Azure OpenAI Service, and leveraging prompt flow or model catalog capabilities to accelerate AI-powered data pipelines and analytics workflows.