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)
Explains the architecture of multiple sources of data.
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Level 2 Behaviors
(Light Experience)
Compiles analytics reports to track data collection architectures.
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Level 3 Behaviors
(Moderate Experience)
Maintains data structures within the data architecture to optimize the performance of the business.
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Level 4 Behaviors
(Extensive Experience)
Evaluates the alignment of data architecture workstreams to ensure business objectives.
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Level 5 Behaviors
(Mastery)
Designs and implements data architecture to provide efficient and consistent data sources.
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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)
Describes the importance of analytical thinking in the workplace.
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Level 2 Behaviors
(Light Experience)
Asks the right questions to ensure clarity on business goals and requirements.
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Level 3 Behaviors
(Moderate Experience)
Develops alternative solutions and compares the pros and cons.
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Level 4 Behaviors
(Extensive Experience)
Determines and prioritizes the sequence of steps for a specific situation.
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Level 5 Behaviors
(Mastery)
Evaluates potential risks using extensive industry knowledge when considering new opportunities.
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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)
Explains why attention to detail plays an important role in own function or unit.
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Level 2 Behaviors
(Light Experience)
Processes limited amounts of detailed information with reasonable accuracy.
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Level 3 Behaviors
(Moderate Experience)
Processes large quantities of detailed information with high levels of accuracy.
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Level 4 Behaviors
(Extensive Experience)
Demonstrates expertise in quality assurance tools, techniques, and standards.
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Level 5 Behaviors
(Mastery)
Designs techniques for measuring the cost and impact of errors.
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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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