Designs and builds databases for data storage or processing.
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.
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.
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.
Level 2 Behaviors
(Light Experience)
Supports end-users in using business intelligence tools to query databases for outputs and data preparation.
Level 3 Behaviors
(Moderate Experience)
Utilizes business intelligence platforms to derive insights to present the data to our business.
Level 4 Behaviors
(Extensive Experience)
Provides technical oversight and design to support the development of business intelligence solutions.
Level 5 Behaviors
(Mastery)
Leads the development of visual business intelligence models to utilize business intelligence tools.
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.
Level 2 Behaviors
(Light Experience)
Assists in tracking, documenting, and resolving all data architecture issues.
Level 3 Behaviors
(Moderate Experience)
Handles data architecture recommendations to maximize the data value across our business.
Level 4 Behaviors
(Extensive Experience)
Drives improvements in data architecture and processes to support business analytical initiatives.
Level 5 Behaviors
(Mastery)
Conceptualizes the designs and data models to lead compliance with data architecture standards.
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.
Level 2 Behaviors
(Light Experience)
Applies appropriate methods to organize and disclose meaningful data patterns.
Level 3 Behaviors
(Moderate Experience)
Decomposes complex issues into several parts and solves them individually.
Level 4 Behaviors
(Extensive Experience)
Coaches others on using logic and reasoning to process and organize information.
Level 5 Behaviors
(Mastery)
Establishes critical training and initiatives to foster analytical thinking across our business.
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.
Level 2 Behaviors
(Light Experience)
Performs assigned responsibilities according to standard procedures and standards.
Level 3 Behaviors
(Moderate Experience)
Implements a variety of cross-checking approaches and mechanisms.
Level 4 Behaviors
(Extensive Experience)
Demonstrates expertise in quality assurance tools, techniques, and standards.
Level 5 Behaviors
(Mastery)
Designs techniques for measuring the cost and impact of errors.
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.
