Skills & Competencies for Data Architect I

Data Architect I job profile

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JOB SUMMARY for Data Architect I

Designs and builds databases for data storage or processing.

JOB RESPONSIBILITIES for Data Architect I

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 I SALARY RANGE

BASE 50%
$84,581
TOTAL 50%
$86,573
Job Level
P01
Job Code
IT10000040
Education/Degree
Bachelor's Degree
Reports To
Supervisor or Manager

Data Architect I 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 I 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 I

1 Job Family Competencies – Business Intelligence
Proficiency Level -1
Skill definition-Evaluating business data, translating it to actionable insights, and using it to make better-informed decisions.
Level 1 Behaviors
(General Familiarity)
Lists the basic features of general business intelligence systems and database structure.
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Level 2 Behaviors
(Light Experience)
Supports end-users in using business intelligence tools to query databases for outputs and data preparation.
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Level 3 Behaviors
(Moderate Experience)
Utilizes business intelligence platforms to derive insights to present the data to our business.
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Level 4 Behaviors
(Extensive Experience)
Provides technical oversight and design to support the development of business intelligence solutions.
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Level 5 Behaviors
(Mastery)
Leads the development of visual business intelligence models to utilize business intelligence tools.
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2 Job Family Competencies – Data Architecture
Proficiency Level -2
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)
Follows the data architecture standards and practices.
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Level 2 Behaviors
(Light Experience)
Selects and uses architecture tools to support the development of data models.
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Level 3 Behaviors
(Moderate Experience)
Reviews existing data architecture to identify potential improvements and policies.
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Level 4 Behaviors
(Extensive Experience)
Monitors the data flow to create predictable data architecture and make data structures adaptable.
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Level 5 Behaviors
(Mastery)
Establishes policies and procedures to address data architecture issues within our business.
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3 Data Architect I - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - Data Architect I
Proficiency Level - 4
5 Competency for - Data Architect I
Proficiency Level - 5

6 soft skills or competencies (core competencies) for Data Architect I

1 Core Competencies – Analytical Thinking
Proficiency Level -2
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)
Establishes critical training and initiatives to foster analytical thinking across our business.
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2 Core Competencies – Attention to Detail
Proficiency Level -2
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)
Performs assigned responsibilities according to standard procedures and standards.
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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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3 Data Architect I - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - Data Architect I
Proficiency Level - 4
5 Competency for - Data Architect I
Proficiency Level - 5

Summary of Data Architect I skills and competencies

There are 0 hard skills for Data Architect I.
14 general skills for Data Architect I, Business Intelligence, Data Architecture, Data Governance, etc.
6 soft skills for Data Architect I, Analytical Thinking, Attention to Detail, Time Management, etc.
While the list totals 20 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 I, he or she needs to be proficient in Analytical Thinking, be proficient in Attention to Detail, and be proficient in Time Management.

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