Skills & Competencies for Data Architect V

Data Architect V job profile

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JOB SUMMARY for Data Architect V

Designs and builds databases for data storage or processing.

JOB RESPONSIBILITIES for Data Architect V

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 V SALARY RANGE

BASE 50%
$169,058
TOTAL 50%
$184,779
Job Level
P05
Job Code
IT10000190
Education/Degree
Bachelor's Degree
Reports To
Supervisor or Manager

Data Architect V 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 V 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 V

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 -5
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 V - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - Data Architect V
Proficiency Level - 4
5 Competency for - Data Architect V
Proficiency Level - 5

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

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)
Decomposes complex issues into several parts and solves them individually.
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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)
Establishes critical training and initiatives to foster analytical thinking across our business.
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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)
Performs assigned responsibilities according to standard procedures and standards.
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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 V - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - Data Architect V
Proficiency Level - 4
5 Competency for - Data Architect V
Proficiency Level - 5

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.

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