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 professional responsible for managing the relocation of data, systems, or applications from one environment to another. Ensures the process is seamless, efficient, and minimizes downtime or data loss.

Responsible for moving data between systems, ensuring accuracy and integrity during the process. Key to system upgrades and integrations within organizations.

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.

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

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.

Designs and implements data solutions to meet business needs, ensuring data is accessible, reliable, and secure.

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

Ensures the safe development and deployment of AI systems, addressing ethical concerns and potential risks.