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)
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-Insight into our organization's business, goals, and values. Ability to design and implement initiatives that facilitate successful outcomes.
Level 1 Behaviors
(General Familiarity)
Explains our key business strategies and priorities.
Level 2 Behaviors
(Light Experience)
Reports and communicates market and competitor status regularly to the management team.
Level 3 Behaviors
(Moderate Experience)
Evaluates supply chain efficiency with an eye toward improving shortcomings.
Level 4 Behaviors
(Extensive Experience)
Optimizes business processes based on deep insight into various business unit functions.
Level 5 Behaviors
(Mastery)
Designs and implements feedback loops to identify and promptly address business problems.
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)
Explains the importance of budget reporting and forecasting in our workplace.
Level 2 Behaviors
(Light Experience)
Produces budget reports showing planned vs. actual variances highlighted and explained.
Level 3 Behaviors
(Moderate Experience)
Reviews and helps approve major budget adjustments to negotiate and reconcile line variances.
Level 4 Behaviors
(Extensive Experience)
Provides in-depth training to our entire organization about the zero based budgeting methodology.
Level 5 Behaviors
(Mastery)
Forecasts asset needs to leverage available inventory and data compilation for annual budgeting.
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.
