14 general skills or competencies (Job family competencies) for Data Architect V
Skill definition-Evaluating business data, translating it to actionable insights, and using it to make better-informed decisions.
Level 1 Behaviors
(General Familiarity)
Explains the data modeling and reporting concepts applicable to business Intelligence.
See 4 More Skill Behaviors
Level 2 Behaviors
(Light Experience)
Collects business intelligence data to analyze our business's competitiveness.
See 4 More Skill Behaviors
Level 3 Behaviors
(Moderate Experience)
Partners with the management in streamlining business intelligence and analytics tools.
See 4 More Skill Behaviors
Level 4 Behaviors
(Extensive Experience)
Drives the overall data quality improvement initiatives to leverage business intelligence tools.
See 4 More Skill Behaviors
Level 5 Behaviors
(Mastery)
Creates overall solutions for various complex enterprise needs in the business intelligence area.
See 4 More Skill Behaviors
Skill definition-Designing, and implementing policies and standards in managing data to meet the need for information across our organization.
Level 1 Behaviors
(General Familiarity)
Explains the architecture of multiple sources of data.
See 4 More Skill Behaviors
Level 2 Behaviors
(Light Experience)
Conducts standard reviews to assess the effectiveness of data architecture deliverables.
See 4 More Skill Behaviors
Level 3 Behaviors
(Moderate Experience)
Partners with various teams to identify the needs in data architecture across our organization.
See 4 More Skill Behaviors
Level 4 Behaviors
(Extensive Experience)
Guides the teams to develop data architecture solutions and achieve business functionalities.
See 4 More Skill Behaviors
Level 5 Behaviors
(Mastery)
Designs and implements data architecture to provide efficient and consistent data sources.
See 4 More Skill Behaviors
8 soft skills or competencies (core competencies) for Data Architect V
Skill definition-Gathering, organizing, and analyzing information to identify the root cause of organizational problems and develop alternative solutions accordingly.
Level 1 Behaviors
(General Familiarity)
Explains the integral role data collection plays when conducting analytical thinking.
See 4 More Skill Behaviors
Level 2 Behaviors
(Light Experience)
Breaks down a specific project into lists of tasks.
See 4 More Skill Behaviors
Level 3 Behaviors
(Moderate Experience)
Develops alternative solutions and compares the pros and cons.
See 4 More Skill Behaviors
Level 4 Behaviors
(Extensive Experience)
Draws conclusions based upon logic and intuitive judgment.
See 4 More Skill Behaviors
Level 5 Behaviors
(Mastery)
Evaluates potential risks using extensive industry knowledge when considering new opportunities.
See 4 More Skill Behaviors
Skill definition-Executing and completing a task with a high level of accuracy.
Level 1 Behaviors
(General Familiarity)
Explains why attention to detail plays an important role in own function or unit.
See 4 More Skill Behaviors
Level 2 Behaviors
(Light Experience)
Performs assigned responsibilities according to standard procedures and standards.
See 4 More Skill Behaviors
Level 3 Behaviors
(Moderate Experience)
Processes large quantities of detailed information with high levels of accuracy.
See 4 More Skill Behaviors
Level 4 Behaviors
(Extensive Experience)
Demonstrates expertise in quality assurance tools, techniques, and standards.
See 4 More Skill Behaviors
Level 5 Behaviors
(Mastery)
Designs techniques for measuring the cost and impact of errors.
See 4 More Skill Behaviors
Summary of Data Architect V skills and competencies
There are 0 hard skills for Data Architect V.
14 general skills for Data Architect V, Business Intelligence, Data Architecture, Data Governance, etc.
8 soft skills for Data Architect V, Analytical Thinking, Attention to Detail, Time Management, etc.
While the list totals 22 distinct skills, it's important to note that not all are required to be mastered to the same degree. Some skills may only need a basic understanding, whereas others demand a higher level of expertise.
For instance, as a Data Architect V, he or she needs to be skilled in Analytical Thinking, be skilled in Attention to Detail, and be skilled in Time Management.