Database design DBDS
Specifying, designing and maintaining mechanisms for storing and accessing data across various environments and platforms.
Revision notes
Updates for SFIA 9
- Theme(s) influencing the updates for this skill: Making SFIA easier to consume (enhance readability/guidance/descriptions), Making SFIA easier to consume (new levels).
- New level 2 added to support entry-level roles.
- Content changes have been made to level 5.
- You can move to SFIA 9 when you are ready - SFIA 8 skill descriptions will still be available to use.
- Previous SFIA assessments or skills mapping are not impacted by this change.
Guidance notes
Activities may include, but are not limited to:
- designing operational databases, data warehouses, data lakes, or data stores for on-premise, cloud-based, or hybrid environments
- defining physical or virtual structures required to support applications, analytics, machine learning, business intelligence or other data-driven services
- designing operational data stores to integrate data from multiple sources to support data pipelines and enable additional operations on the data
- aligning designs with data architectures, enterprise architectures, standards, policies and regulations
- considering scalability, performance, availability, recovery and other operational requirements.
Understanding the responsibility levels of this skill
Where lower levels are not defined...
- Specific tasks and responsibilities are not defined because the skill requires a higher level of autonomy, influence, and complexity in decision-making than is typically expected at these levels. You can use the essence statements to understand the generic responsibilities associated with these levels.
Where higher levels are not defined...
- Responsibilities and accountabilities are not defined because these higher levels involve strategic leadership and broader organisational influence that goes beyond the scope of this specific skill. See the essence statements.
Developing skills and demonstrating responsibilities related to this skill
The defined levels show the incremental progression in skills and responsibilities.
Where lower levels are not defined...
You can develop your knowledge and support others who do have responsibility in this area by:
- Learning key concepts and principles related to this skill and its impact on your role
- Performing related skills (see the related SFIA skills)
- Supporting others who are performing higher level tasks and activities
Where higher levels are not defined...
- You can progress by developing related skills which are better suited to higher levels of organisational leadership.
Click to learn why SFIA skills are not defined at all 7 levels.
Show/hide extra descriptions and levels.
Levels of responsibility for this skill
2 | 3 | 4 | 5 |
Level 1
Database design: Level 2
Assists in creating and documenting detailed database designs under routine supervision.
Follows established procedures and guidelines.
Helps create and maintain documentation.
Database design: Level 3
Interprets installation standards to meet project needs and produces database or data warehouse component specifications.
Develops physical database or data warehouse design elements, within set policies, to meet data requirements.
Database design: Level 4
Implements physical database designs to support transactional data requirements for performance and availability.
Develops and maintains specialist knowledge of database and data warehouse concepts, design principles, architectures, software and facilities.
Assesses proposed changes to object/data structures and evaluates alternative options.
Implements data warehouse designs that support business intelligence and data analytics.
Database design: Level 5
Provides specialist expertise in the design characteristics of database management systems or data warehouse products/services.
Provides expert guidance in the selection, provision and use of database and data warehouse architectures, software and facilities.
Ensures design policies optimise transactional data systems for performance and availability while meeting the needs of business intelligence and analytics platforms.