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)
Explains the functions of existing and emerging data and business intelligence platforms.
Level 2 Behaviors
(Light Experience)
Gathers business intelligence data to make informed conclusions on business practices.
Level 3 Behaviors
(Moderate Experience)
Produces a user manual for the business intelligence system to assist stakeholders with proper data navigation.
Level 4 Behaviors
(Extensive Experience)
Manages the overall data transformation from multiple sources into actionable business intelligence.
Level 5 Behaviors
(Mastery)
Designs a new strategy for business intelligence insights to support our business's objectives.
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.
Level 2 Behaviors
(Light Experience)
Identifies and compiles existing data architecture specifications.
Level 3 Behaviors
(Moderate Experience)
Provides recommendations in data architectures and technologies to support evolving business needs.
Level 4 Behaviors
(Extensive Experience)
Manages the data architecture and designs to ensure maximum flexibility for future enhancements.
Level 5 Behaviors
(Mastery)
Establishes policies and procedures to address data architecture issues within our business.
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)
Identifies tools that assist analytical thinking.
Level 2 Behaviors
(Light Experience)
Illustrates logical relationships among diverse entities.
Level 3 Behaviors
(Moderate Experience)
Handles complex issues and provides solutions to improve efficiency and scalability.
Level 4 Behaviors
(Extensive Experience)
Guides others to analyze all factors and parameters that need to be considered.
Level 5 Behaviors
(Mastery)
Investigates industry trends and adjusts our business's strategy accordingly.
Skill definition-Executing and completing a task with a high level of accuracy.
Level 1 Behaviors
(General Familiarity)
Lists best practices and tools to maintain high accuracy and thoroughness in the workplace.
Level 2 Behaviors
(Light Experience)
Uses checklists to ensure that information goes out error-free.
Level 3 Behaviors
(Moderate Experience)
Suggests solutions to issues that arise while executing the tasks.
Level 4 Behaviors
(Extensive Experience)
Employs techniques for motivating personnel to meet or exceed accuracy goals.
Level 5 Behaviors
(Mastery)
Leads the creation of tools for enhancing and assuring accuracy.
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.
