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.

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

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.

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

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

Refers to the process of combining data from different sources to provide a unified view and enable comprehensive analysis.

Advises organizations on data-driven strategies and solutions to improve business performance. Utilizes expertise in data analytics and management to optimize processes and decision-making.

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.