What does an enterprise data architect do?
Enterprise data architects are information technology (IT) professionals who are responsible for creating and managing the enterprise data architecture of an organization. These IT architects are required to develop a business case to modernize and expand their data warehouse environment to improve efficiency and provide consistent access to critical data. They must support strategic initiatives to ensure that the organization is adherence to data standards and data management best practices. Enterprise data architects must also train staff members by providing them with guiding principles for best data management practices.
Enterprise data architect responsibilities
Here are examples of responsibilities from real enterprise data architect resumes:
- Lead the effort to create Splunk indexing cluster from requirements gathering to implementation in AWS.
- Report procedures against SSAS are constructed and ExcelWriter templates are developed to automate and replace existing manually generate, client-contract reports.
- Develop strategies for business intelligence, analytics, and enterprise reporting.
- Set design patterns for application integration, data governance, and analytics development.
- Design requirements for an enterprise data profiling utility, with Hadoop as primary focus.
- Provide enhancement and optimization with ETL process development and maintenance.
- Develop requirements for bringing pricing and orders data into Hadoop enterprise data hub.
- Tune ETL configurations and parameters for high efficiency and faster results in applications.
- Implement customized MicroStrategy security module (using SDK) to access reports/dashboards from an application portal.
- Translate business requirements into functional design specifications and used visualization tool to get consensus from business users during development.
- Used business capability modeling, roadmaps and application portfolio assessment techniques to help executive team select and prioritize projects.
- Perform architecture study providing extensive server, storage, desktop, network, and application virtualization recommendations for enterprise policy adoption.
- Design and optimize MDX queries to improve performance.
- Convert existing SQL reports to MDX drastically reducing execution times.
- Perform architecture study providing extensive server, storage, desktop, network, and application virtualization recommendations for enterprise policy adoption.
Enterprise data architect skills and personality traits
We calculated that 7% of Enterprise Data Architects are proficient in Analytics, Cloud, and Python. They’re also known for soft skills such as Leadership skills, Organizational skills, and Analytical skills.
We break down the percentage of Enterprise Data Architects that have these skills listed on their resume here:
- Analytics, 7%
Set the overall architectural direction for Enterprise Data Warehouse, and OBIEE Data Marts for enterprise analytics reporting.
- Cloud, 5%
Conducted assessment for Systems Security plan (SSP), Cloud Service Provider, PAAS, SAAS, IAAS.
- Python, 4%
Supported developers and programmers for Python Security check and code compliance to suit federal standards.
- Data Management, 4%
Assessed data management and functional capabilities for potential vendor solutions, assessing the compatibility of products with A7C client requirements.
- Data Quality, 4%
Build features to support data categorization models, data quality anomaly detection and better data cleansing processes.
- Hadoop, 4%
Designed requirements for an enterprise data profiling utility, with Hadoop as primary focus.
Most enterprise data architects use their skills in "analytics," "cloud," and "python" to do their jobs. You can find more detail on essential enterprise data architect responsibilities here:
Leadership skills. One of the key soft skills for an enterprise data architect to have is leadership skills. You can see how this relates to what enterprise data architects do because "many computer network architects direct teams of engineers, such as computer hardware engineers, who build the networks they have designed." Additionally, an enterprise data architect resume shows how enterprise data architects use leadership skills: "provided team leadership and technical expertise in support of mission critical san infrastructure at nsf. "
Organizational skills. Many enterprise data architect duties rely on organizational skills. "computer network architects who work for large firms must coordinate many different types of communication networks and make sure they work well together.," so an enterprise data architect will need this skill often in their role. This resume example is just one of many ways enterprise data architect responsibilities rely on organizational skills: "delivered enterprise data governance organizational structure, data ownership and governance structure for target. "
Analytical skills. enterprise data architects are also known for analytical skills, which are critical to their duties. You can see how this skill relates to enterprise data architect responsibilities, because "computer network architects have to examine data networks and decide how to best connect the networks based on the needs and resources of the organization." An enterprise data architect resume example shows how analytical skills is used in the workplace: "write vb, java scripts on oracle, db2 and sql database server using etl and apply data cleansing and profiling. "
Detail oriented. For certain enterprise data architect responsibilities to be completed, the job requires competence in "detail oriented." The day-to-day duties of an enterprise data architect rely on this skill, as "computer network architects create comprehensive plans of the networks they are creating with precise information describing how the network parts will work together." For example, this snippet was taken directly from a resume about how this skill applies to what enterprise data architects do: "developed documentation that details hadoop cluster standards, database standards, procedures, policies and service level agreements between different clients. "
The three companies that hire the most enterprise data architects are:
- Wolters Kluwer68 enterprise data architects jobs
- Pwc67 enterprise data architects jobs
- Randstad North America, Inc.54 enterprise data architects jobs
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Compare different enterprise data architects
Enterprise data architect vs. Architect and developer
An Architect And Developer is focused on the technical design, architecture, and development of products. They generally work as a part of the development team.
There are some key differences in the responsibilities of each position. For example, enterprise data architect responsibilities require skills like "analytics," "cloud," "python," and "data management." Meanwhile a typical architect and developer has skills in areas such as "application development," "api," "c++," and "c #." This difference in skills reveals the differences in what each career does.
Architects and developer really shine in the finance industry with an average salary of $125,314. Comparatively, enterprise data architects tend to make the most money in the finance industry with an average salary of $138,270.The education levels that architects and developer earn slightly differ from enterprise data architects. In particular, architects and developer are 1.8% less likely to graduate with a Master's Degree than an enterprise data architect. Additionally, they're 0.2% less likely to earn a Doctoral Degree.Enterprise data architect vs. Senior data analyst-
The role of a senior data analyst is to oversee and conduct data conversion into insights leading to informed business decisions. Senior data analysts work directly with the top management and executives and stakeholders of businesses. Their duties and responsibilities include data collection and interpretation, data set pattern and trend identification, and business management. Skills in leadership, management, technicalities, data management, and data analysis are a must in this job. They should also develop their communication skills and attention to detail.
While some skills are similar in these professions, other skills aren't so similar. For example, resumes show us that enterprise data architect responsibilities requires skills like "analytics," "cloud," "python," and "data management." But a senior data analyst- might use other skills in their typical duties, such as, "power bi," "dashboards," "bi," and "statistical analysis."
On average, senior data analysts earn a lower salary than enterprise data architects. Some industries support higher salaries in each profession. Interestingly enough, senior data analysts earn the most pay in the government industry with an average salary of $96,561. Whereas enterprise data architects have higher pay in the finance industry, with an average salary of $138,270.Average education levels between the two professions vary. Senior data analysts tend to reach lower levels of education than enterprise data architects. In fact, they're 5.6% less likely to graduate with a Master's Degree and 0.2% less likely to earn a Doctoral Degree.What technology do you think will become more important and prevalent for enterprise data architects in the next 3-5 years?
Dr. Barry Stiefel Ph.D.
Associate Professor, College of Charleston
My suggestion is to try to be aware, as much as possible, of the latest and upcoming tech but focus on a specific set (or two) of hardware and software that most interests you. When I was younger, I tried staying on top of it all but quickly found that so much was coming out so fast that soon I spent all my time just trying to be on top of it all and unable to do much else. Technology has become so vast and diversified that to be good at something, you may not be able to do it all.
Professional and social networking can create professional communities where people who specialize in one set or two of technology or skills can share and exchange knowledge and expertise with colleagues and friends that complement each other. This is a strategy that I recommend.
Enterprise data architect vs. Lead solution architect
A lead solution architect is in charge of leading the efforts in improving a company's information systems, ensuring efficiency and smooth workflow. Their responsibilities typically revolve around performing research and analysis to identify the strengths and weaknesses of existing systems, coordinating with different departments to gather data, and developing solutions to optimize business procedures. They may produce presentations and proposals, recommending the best practices for the company. Furthermore, as a lead solution architect, it is essential to supervise and encourage team members to reach goals, all while adhering to the company's policies and regulations.
The required skills of the two careers differ considerably. For example, enterprise data architects are more likely to have skills like "python," "data management," "data quality," and "hadoop." But a lead solution architect is more likely to have skills like "digital transformation," "client facing," "apex," and "pre sales."
Lead solution architects earn the best pay in the energy industry, where they command an average salary of $135,678. Enterprise data architects earn the highest pay from the finance industry, with an average salary of $138,270.lead solution architects typically earn similar educational levels compared to enterprise data architects. Specifically, they're 0.7% more likely to graduate with a Master's Degree, and 0.7% more likely to earn a Doctoral Degree.Enterprise data architect vs. Information technology architect
An information technology architect is responsible for designing and creating new technology systems and optimizing the performance of existing ones. Information technology architects analyze the business needs and client requirements to identify system features and technology infrastructure according to budget limitations and timetables. They also consider the public demands and technology trends to ensure that the deliverables would reach the audience's interest to boost awareness and attract potential clients, generating more resources for revenues. An information technology architect should have excellent technical and project management skills, especially on implementing technology solutions and running diagnostic tests to measure systems compatibility.
Types of enterprise data architect
Updated January 8, 2025
