Manages the maintenance and development of data systems.
Leads projects to improve the usability, scalability, efficiency, and security of an organization’s data resources. These can include data migrations, data governance initiatives, and data management and architecture projects. Leads teams in designing, developing, and testing new or reconfigured data systems. Ensures data systems integrate well with data solutions, modeling, and analytics initiatives.
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 Architecture Manager 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)
Lists all the applications, tools, and techniques used in data architecture.
Level 2 Behaviors
(Light Experience)
Selects and uses architecture tools to support the development of data models.
Level 3 Behaviors
(Moderate Experience)
Reviews existing data architecture to identify potential improvements and policies.
Level 4 Behaviors
(Extensive Experience)
Monitors the data flow to create predictable data architecture and make data structures adaptable.
Level 5 Behaviors
(Mastery)
Stays abreast with the latest technologies to improve the overall performance of data architects.
Skill definition-Insight into our organization's business, goals, and values. Ability to design and implement initiatives that facilitate successful outcomes.
Level 1 Behaviors
(General Familiarity)
Names our key stakeholders from a business value chain perspective.
Level 2 Behaviors
(Light Experience)
Supports the planning, implementation, and management of training programs that foster process improvements.
Level 3 Behaviors
(Moderate Experience)
Implements effective marketing strategies that achieve improved business outcomes.
Level 4 Behaviors
(Extensive Experience)
Trains others on various business and operation topics.
Level 5 Behaviors
(Mastery)
Evaluates industry and market trends to identify new business opportunities.
Skill definition-Applying specific policies, tools and practices to plan and prepare projected revenues, expenses, cash flows, and capital expenditures.
Level 1 Behaviors
(General Familiarity)
Lists the elements and the steps on how to conduct budgeting.
Level 2 Behaviors
(Light Experience)
Supplies supporting information and justification for major line items.
Level 3 Behaviors
(Moderate Experience)
Utilizes software tools and applications to forecast our annual budget accurately.
Level 4 Behaviors
(Extensive Experience)
Recommends alternative budgeting strategies for resolving budgeting issues in our workplace.
Level 5 Behaviors
(Mastery)
Introduces technologies, policies, and programs for more effective budget management.
There are 0 hard skills for Data Architecture Manager.
14 general skills for Data Architecture Manager, Business Intelligence, Data Architecture, Data Governance, etc.
11 soft skills for Data Architecture Manager, Business Acumen, Budgeting, Planning and Organizing, etc.
While the list totals 25 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 Architecture Manager, he or she needs to be proficient in Business Acumen, be proficient in Budgeting, and be skilled in Planning and Organizing.
