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)
Explains the data modeling and reporting concepts applicable to business Intelligence.
Level 2 Behaviors
(Light Experience)
Collects business intelligence data to analyze our business's competitiveness.
Level 3 Behaviors
(Moderate Experience)
Partners with the management in streamlining business intelligence and analytics tools.
Level 4 Behaviors
(Extensive Experience)
Drives the overall data quality improvement initiatives to leverage business intelligence tools.
Level 5 Behaviors
(Mastery)
Creates overall solutions for various complex enterprise needs in the business intelligence area.
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 components of data architecture, data pipelines, and data streaming.
Level 2 Behaviors
(Light Experience)
Conducts standard reviews to assess the effectiveness of data architecture deliverables.
Level 3 Behaviors
(Moderate Experience)
Partners with various teams to identify the needs in data architecture across our organization.
Level 4 Behaviors
(Extensive Experience)
Guides the teams to develop data architecture solutions and achieve business functionalities.
Level 5 Behaviors
(Mastery)
Develops and implements key components to verify the fidelity and performance of data architecture.
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)
Lists skills, traits, and characteristics of analytical thinkers.
Level 2 Behaviors
(Light Experience)
Makes a list of items without order or set of priorities.
Level 3 Behaviors
(Moderate Experience)
Summarizes historical experience to find probable causes of the problem.
Level 4 Behaviors
(Extensive Experience)
Leads brainstorming to encourage teammates to create new perspectives.
Level 5 Behaviors
(Mastery)
Promotes the adoption of business intelligence analysis technology to drive strategic decisions.
Skill definition-Executing and completing a task with a high level of accuracy.
Level 1 Behaviors
(General Familiarity)
Lists the traits of an employee showing great attention to detail.
Level 2 Behaviors
(Light Experience)
Utilizes specific approaches and tools for checking and cross-checking outputs.
Level 3 Behaviors
(Moderate Experience)
Uses tools to organize and monitor work progress.
Level 4 Behaviors
(Extensive Experience)
Manages training to improve staffs' concentration and attention to detail.
Level 5 Behaviors
(Mastery)
Learns from previous works' strengths and weaknesses to guide new projects.
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.
