Data Governance Job Market Trends

A specialized developer focusing on deploying and managing SailPoint's identity management solutions. Ensures secure user access and compliance across enterprise systems.

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.

Refers to data that is distributed across multiple locations or systems, rather than being stored in a central repository.

A professional who designs, builds, and manages data-focused infrastructure and workflows to optimize data processing and analysis. Their work ensures seamless data flow between different systems and enables efficient data-driven decision making.

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

Responsible for managing and optimizing data flow across different systems and platforms. Ensures seamless data connectivity, enhancing overall data accessibility and organizational efficiency.