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 I 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)
Describes the basic terminologies used in business intelligence and business analytics processes.
Level 2 Behaviors
(Light Experience)
Assists in preparing insights for business performance by using business intelligence tools.
Level 3 Behaviors
(Moderate Experience)
Implements the integration of proprietary business intelligence applications within the department.
Level 4 Behaviors
(Extensive Experience)
Directs the development of a business intelligence platform to report end-user data mining.
Level 5 Behaviors
(Mastery)
Creates business intelligence reviews and strategies to interpret short-term and long-range forecasts.
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 defining a roadmap for the implementation of data architecture strategies.
Level 3 Behaviors
(Moderate Experience)
Deploys data architectures to manage, transform, and exploit data across the enterprise.
Level 4 Behaviors
(Extensive Experience)
Develops and leverages key metrics to ensure the integrity of data architecture.
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)
Creates and interprets causal links among various datasets.
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 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.
