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 functions of existing and emerging data and business intelligence platforms.
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Level 2 Behaviors
(Light Experience)
Gathers business intelligence data to make informed conclusions on business practices.
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Level 3 Behaviors
(Moderate Experience)
Produces a user manual for the business intelligence system to assist stakeholders with proper data navigation.
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Level 4 Behaviors
(Extensive Experience)
Manages the overall data transformation from multiple sources into actionable business intelligence.
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Level 5 Behaviors
(Mastery)
Designs a new strategy for business intelligence insights to support our business's objectives.
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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)
Applies appropriate methods to organize and disclose meaningful data patterns.
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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)
Coaches others on using logic and reasoning to process and organize information.
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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)
Cites steps and tips to improve attention to detail in the workplace.
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Level 2 Behaviors
(Light Experience)
Keeps full attention when listening to understand the message.
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Level 3 Behaviors
(Moderate Experience)
Implements a variety of cross-checking approaches and mechanisms.
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Level 4 Behaviors
(Extensive Experience)
Creates and implements quality management processes for our business.
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Level 5 Behaviors
(Mastery)
Defines possible hurdles to projects and creates strategies to deal with them.
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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.