Skills & Competencies for Data Architect IV

Data Architect IV job profile

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JOB SUMMARY for Data Architect IV

Designs and builds databases for data storage or processing.

JOB RESPONSIBILITIES for Data Architect IV

Develops strategies for warehouse implementation, data acquisition and access, and data archiving and recovery. Builds data models and defines the structure, attributes and nomenclature of data elements. May evaluate new data sources for adherence to the organization's quality standards and ease of integration.

Data Architect IV SALARY RANGE

BASE 50%
$148,460
TOTAL 50%
$160,874
Job Level
P04
Job Code
IT10000189
Education/Degree
Bachelor's Degree
Reports To
Supervisor or Manager

Data Architect IV Skills and Competencies List

Proficiency Levels and Behavioural Indicators
Salary.com identifies five increasing levels of proficiency for each skill/competency. Some jobs require only a relatively low level of proficiency in each skill/competency, while other jobs will require a more advanced level of proficiency in the same skill/competency. These levels rate the degree of proficiency (skill level, expertise) we expect the incumbent to perform in the given skill/competency for the given job. Note that we intentionally do not associate timeframes or years of experience in performing the skill/competency because that can be misleading. Proficiency levels identify what the incumbent knows and can do rather than how long they have been doing it. Also, note that the proficiency levels are cumulative, e.g., a level 4 proficiency implies the ability to perform all the behaviors at the lower levels.
Check each Data Architect IV skill and competencie below to view definitions.
JOB FAMILY COMPETENCIES CORE COMPETENCIES
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14 general skills or competencies (Job family competencies) for Data Architect IV

1 Job Family Competencies – Business Intelligence
Proficiency Level -3
Skill definition-Evaluating business data, translating it to actionable insights, and using it to make better-informed decisions.
Level 1 Behaviors
(General Familiarity)
Describes the basic terminologies used in business intelligence and business analytics processes.
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Level 2 Behaviors
(Light Experience)
Assists in preparing insights for business performance by using business intelligence tools.
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Level 3 Behaviors
(Moderate Experience)
Implements the integration of proprietary business intelligence applications within the department.
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Level 4 Behaviors
(Extensive Experience)
Directs the development of a business intelligence platform to report end-user data mining.
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Level 5 Behaviors
(Mastery)
Creates business intelligence reviews and strategies to interpret short-term and long-range forecasts.
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2 Job Family Competencies – Data Architecture
Proficiency Level -4
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)
Describes the concepts and principles of database architecture.
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Level 2 Behaviors
(Light Experience)
Assists in tracking, documenting, and resolving all data architecture issues.
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Level 3 Behaviors
(Moderate Experience)
Handles data architecture recommendations to maximize the data value across our business.
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Level 4 Behaviors
(Extensive Experience)
Drives improvements in data architecture and processes to support business analytical initiatives.
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Level 5 Behaviors
(Mastery)
Conceptualizes the designs and data models to lead compliance with data architecture standards.
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3 Data Architect IV - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - Data Architect IV
Proficiency Level - 4
5 Competency for - Data Architect IV
Proficiency Level - 5

8 soft skills or competencies (core competencies) for Data Architect IV

1 Core Competencies – Analytical Thinking
Proficiency Level -4
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)
Applies various theories, concepts, or analytical tools to analyze complex problems.
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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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2 Core Competencies – Attention to Detail
Proficiency Level -4
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)
Balances between accuracy and efficiency for different tasks or programs.
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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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3 Data Architect IV - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - Data Architect IV
Proficiency Level - 4
5 Competency for - Data Architect IV
Proficiency Level - 5

Summary of Data Architect IV skills and competencies

There are 0 hard skills for Data Architect IV.
14 general skills for Data Architect IV, Business Intelligence, Data Architecture, Data Governance, etc.
8 soft skills for Data Architect IV, 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 IV, he or she needs to be skilled in Analytical Thinking, be skilled in Attention to Detail, and be skilled in Time Management.

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