Senior Azure Data Engineer (Data, BI, AI)

About Us

Korn Ferry is a global consulting firm that powers performance. We unlock the potential in your people and unleash transformation across your business synchronizing strategy, operations, and talent to accelerate performance, fuel growth, and inspire a legacy of change. That’s why the world’s most forward-thinking companies across every major industry turn to us for a shared commitment to lasting impact and the bold ambition to Be More Than.

Headquartered in Los Angeles, our over 9,000 colleagues globally serve clients in more than 50 countries. We offer five core capabilities that span the full talent lifecycle:

• Organizational Strategy
• Assessment and Succession
• Talent Acquisition
• Leadership Development
• Rewards and Benefits

ARE YOU READY TO ‘BE MORE THAN’?

No one knows more about aligning talent and organizational strategies than us. With our unique expertise, we can help you release the power of your collective genius and drive superior performance.

At Korn Ferry, we’re passionate about creating a diverse, autonomous, and flexible environment. Having a career at Korn Ferry, talent thrives and excellence is always recognized and rewarded.

You’ll be empowered to share your ideas and to follow them through. And, because we’re all about taking talent further, you can look forward to exceptional training and development opportunities in every job at Korn Ferry.

Opportunity to Enhance Your Career - It’s about Exceeding Your Potential.

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:
• Microsoft Azure Synapse Analytics experience (Dedicated SQL Pool, Azure Data Factory, Azure Storage), Databricks, and PostgreSQL.
• End-to-end Data Warehouse experience: ingestion, ETL, ‘big data’ pipelines, data architecture, message queuing, stream processing, BI/Reporting, and Data Security.
• Ability to build processes supporting data transformation, data structures, metadata, dependency, and workload management.
• Advanced SQL/relational database knowledge, including SSIS and query authoring. You must have a high degree of comfort managing and understanding complex datasets.
• Experience performing root cause analysis on data, answering business questions, and identifying improvement opportunities.
• Skilled at building star schemas and dimensional modeling.
• Familiarity with tools like Power BI and Tableau.
• Understanding of data privacy regulations and security protocols.
• Knowledge of cloud-based data warehousing and analytics services (e.g., AWS and Azure).
• Familiarity with Azure Open AI infrastructure and experience building subscription environments to support AI applications.
• Excellent communication skills and the ability to work within a team and build strong relationships .
• Solutions architect experience creating architecture diagrams with Lucidchart or Erwin.
• Strong numerical skills and experience of leveraging SQL to create calculations and algorithms.
• How You Work:
• Highly organized, self-starting, methodical, and able to manage complex projects.
• Highly analytical and numeric with strong attention to detail.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Supporting Skills:
• Experience with Data Governance (Quality, Lineage, Data dictionary, and Security).
• Proficiency in programming languages such as Python for data engineering tasks.
• Familiarity with Git for version control and Azure DevOps for continuous integration.
• Understanding of machine learning and artificial intelligence libraries and frameworks (TensorFlow, Spark, etc.).

Internal Mobility at Korn Ferry

If you currently work for Korn Ferry or one of our affiliates, you must be eligible to apply for a different position within Korn Ferry to use the Careers Site. If you accept such a position, your benefits programs and Human Resources policies may change. Please consult with your HR contact for the new position concerning application eligibility, including any immigration/visa needs, benefit programs, and HR policies applicable to that position.

Korn Ferry is an Equal Employment Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or veteran status or any other characteristic protected by federal, state, or local law.