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, and 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.
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 by creating data models, designing data structures, ensuring data quality and accessibility, and collaborating with stakeholders to meet their needs.
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 maintain 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:
- Understanding of machine learning and artificial intelligence libraries and frameworks (e.g., TensorFlow, Spark).
- Experience with Azure AI Foundry, including building, deploying, and managing AI models and agents.
- Familiarity with AI Foundry’s unified development environment, Azure OpenAI Service, and prompt flow or model catalog capabilities.
- How You Work:
- Strong analytical and problem‑solving skills.
- Excellent communication and stakeholder collaboration.
- Ability to manage multiple priorities in a fast‑moving environment.
- Supporting Skills:
- Experience with data residency and compliance requirements.
- Knowledge of security, networking, privacy, and legal considerations for data solutions.
- Proficiency in deploying and managing data solutions within a large enterprise.
Korn Ferry may use AI as part of its recruitment process, but all hiring decisions are made by humans.
Equal Employment Opportunity
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, veteran status, or any other characteristic protected by federal, state, or local law.
#J-18808-Ljbffr