Data Governance Job Market Trends

The framework of policies and practices that guide the ethical and effective use of AI technologies within an organization.

A data architecture combining features of data lakes and data warehouses to support both analytical and transactional workloads. Allows for efficient multi-modal data processing and storage with unified governance.

Machine Learning Operations (MLops) involves the practices and tools used to deploy, monitor, and manage machine learning models in production.

Focused on the seamless transfer of data between different storage types and formats, Data Migration is crucial for maintaining data integrity and ensuring minimal operational downtime.

Specializing in the construction and maintenance of scalable data architectures, Data Platform Engineers utilize big data technologies to enhance analytics and business intelligence capabilities.

Designs and creates data models to represent complex data structures, ensuring they meet business requirements and support data analysis.

A senior-level role focusing on designing and managing the architecture of data systems. Responsible for leading data engineering teams and ensuring data solutions meet business needs.

A leading data intelligence company offering a platform that helps organizations manage and govern their data. Known for facilitating collaboration and ensuring data accuracy and compliance across enterprises.

A unified data analytics platform that provides tools for data engineering, data science, and machine learning, built on Apache Spark.