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)
Compiles a list of the basic processes to navigate business intelligence dashboards and tools.
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Level 2 Behaviors
(Light Experience)
Assists in developing enterprise business intelligence applications to collect large amounts of data.
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Level 3 Behaviors
(Moderate Experience)
Implements complex analysis solutions to support the business intelligence environment.
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Level 4 Behaviors
(Extensive Experience)
Aligns the business capability requirements to the business intelligence and data strategy roadmaps.
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Level 5 Behaviors
(Mastery)
Champions the adoption of advanced business intelligence tools to promote the data dissemination process.
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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)
Cites examples of best practices used in data architecture.
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Level 2 Behaviors
(Light Experience)
Assists in defining a roadmap for the implementation of data architecture strategies.
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Level 3 Behaviors
(Moderate Experience)
Deploys data architectures to manage, transform, and exploit data across the enterprise.
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Level 4 Behaviors
(Extensive Experience)
Develops and leverages key metrics to ensure the integrity of data architecture.
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Level 5 Behaviors
(Mastery)
Champions the adoption of advanced tools to improve the performance of data architecture.
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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)
Clarifies the differences between analytical thinking and critical thinking.
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Level 2 Behaviors
(Light Experience)
Analyzes the importance of the problem and determines the key points to solve it.
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Level 3 Behaviors
(Moderate Experience)
Creates and interprets causal links among various datasets.
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Level 4 Behaviors
(Extensive Experience)
Anticipates and develops comprehensive solutions to reduce potential obstacles, challenges, and risks.
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Level 5 Behaviors
(Mastery)
Champions advanced methodologies and approaches, such as design thinking, for creative problem-solving.
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Skill definition-Executing and completing a task with a high level of accuracy.
Level 1 Behaviors
(General Familiarity)
Lists the traits of an employee showing great attention to detail.
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Level 2 Behaviors
(Light Experience)
Utilizes specific approaches and tools for checking and cross-checking outputs.
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Level 3 Behaviors
(Moderate Experience)
Uses tools to organize and monitor work progress.
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Level 4 Behaviors
(Extensive Experience)
Manages training to improve staffs' concentration and attention to detail.
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Level 5 Behaviors
(Mastery)
Learns from previous works' strengths and weaknesses to guide new projects.
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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.