Roles in a Cognite Data Fusion (CDF) implementation

Implementing CDF projects often requires the expertise and skills of many individuals. The list below shows the roles and responsibilities that we've found to be critical to making CDF a success.

CDF project teams are often cross-functional, with people with different functional competencies working together towards a common goal. Data is often distributed across organizations, and one of the main goals is to share the data between teams. Each team owns its data and provides access to the other team as necessary.

Individuals can have multiple responsibilities, and we split the roles across:

• Project team roles
• Supporting roles
• Other stakeholders

Project team roles

• Business owner — Has intimate knowledge of the business problems to solve and understands what data is required to solve them. Helps define and design data-driven solutions.

• CDF system administrator — Sets up and manages CDF and data pipelines. Is responsible for access and data management.

• Solution builder — Builds data-driven solutions. Typically, these are data scientists, data analysts, data engineers, or subject matter experts.

Supporting roles

• Executive sponsor — Champions the project and sets the business vision for the implementation. Articulates the value, communicates strategy and encourages adoption.

• System integrator — Sets up live connections between CDF and source systems during the implementation. Works closely with infrastructure engineers and source system administrators.

Other stakeholders

• Solution architect — Uses technical expertise to integrate and optimize the use of CDF across the organization, tailoring solutions to meet developer and business needs

• Infrastructure engineer — Typically in charge of implementing, managing, and monitoring the organization's cloud and on-premises environments and solutions. Responsible for providing (if needed) on-prem infrastructure access and connectivity.

• Security engineer — Secures systems and protects data. Responsible for the design and implementation of digital security controls, managing access, and protecting your data in cloud networks and hybrid environments.

• Source system administrator — Grants access to source systems, helps understand their data models, and how to connect and extract data from them.

• Subject matter expert (SME) — Functional expert that supports implementation team.

• Data scientist — Analytical professional who interpretes large amounts of data to help drive decision-making.

• Information modeler — Ensures that the organization's data is organized correctly and optimized to achieve critical objectives.

Provide CDF training

Before you start implementing, ensure that the system administrator, the solution builders, and other organizational stakeholders receive training in CDF.

Cognite Academy and Cognite Docs have courses and technical product information to help you learn about the overall concepts and develop practical skills to support the implementation.