Post job

What does a data warehouse architect do?

Updated January 8, 2025
8 min read
Quoted expert
Pavel Chernyavskiy Ph.D.
What does a data warehouse architect do

Data warehouse architects are in charge of planning data warehouse solutions and function with the standard data warehouse technologies to develop plans that best sustain an organization or business. Typically, data warehouse architects usually take employer goals as well as client demands and work to create a particular architecture that will be sustained to serve certain stated objectives. Their duties include planning and implementing effective database solutions and models, assessing and identifying database structural necessities, and evaluating database execution procedures to make sure they follow internal and external guidelines.

On this page

Data warehouse architect responsibilities

Here are examples of responsibilities from real data warehouse architect resumes:

  • Design dimensional data models, develop SQL and UNIX scripts to automate extraction and loading of data.
  • Report procedures against SSAS are constructed and ExcelWriter templates are developed to automate and replace existing manually generate, client-contract reports.
  • Design and build PL/SQL code to extract, transform and load the data into the star schema objects.
  • Design the data warehouse with star and snowflake schemas.
  • Develop the SAS enterprise guide data research and ad hoc reports and store procedures.
  • Debug and tune queries for semantic layer (consume by Java screens and MicroStrategy).
  • Design and programme a custom PL/SQL application to track database changes and report metrics to management.
  • Implement SSAS, SSIS, and SSRS processes to improve data gathering for reports upon development.
  • Perform business analysis, data profiling and research to develop and validate the data warehouse model.
  • Develop complex SSIS packages and small VB.net apps to integrate, scrub or manipulate data from various sources.
  • Base on the schema and associate front-end functionality, the data migration are completed despite little to no documentation.
  • Design and develop voice pick near real time interface for retrieving messages from queue and loading into DB2 DWH.
  • Act as a Teradata DBA, establishing and deploying initial security, sizing, indexing and other performance enhancing physical aspects.
  • Implement and maintain the Teradata database environment.
  • Work with developers to optimize SQL utilize by Java applications.

Data warehouse architect skills and personality traits

We calculated that 11% of Data Warehouse Architects are proficient in Analytics, Data Warehouse, and Business Intelligence. They’re also known for soft skills such as Leadership skills, Organizational skills, and Analytical skills.

We break down the percentage of Data Warehouse Architects that have these skills listed on their resume here:

  • Analytics, 11%

    Lead and manage development, delivery, and enhancements to Nickelodeon Virtual Worlds online user engagement and retention reporting and analytics.

  • Data Warehouse, 8%

    Managed Data Warehouse production environment, monitored Data Warehouse processes and identified, researched and coordinated the resolution of data anomalies.

  • Business Intelligence, 7%

    Headed end-to-end design, development, and delivery of business intelligence solutions to support needs for software development and test organizations.

  • Power Bi, 7%

    Used several custom Power BI Visualizations for specific business requirements.

  • Data Warehousing, 6%

    Lectured and trained extensively on data warehousing architecture and related technical issues including data quality, metadata and XML.

  • Data Quality, 4%

    Worked in areas of Data Management practice, ownership with domain data governance with Metadata Management and Data Quality.

"analytics," "data warehouse," and "business intelligence" are among the most common skills that data warehouse architects use at work. You can find even more data warehouse architect responsibilities below, including:

Analytical skills. Another skill that relates to the job responsibilities of data warehouse architects is analytical skills. This skill is critical to many everyday data warehouse architect duties, as "dbas must monitor a database system’s performance to determine when action is needed." This example from a resume shows how this skill is used: "participated in the data quality tool evaluation and selection effort and determined and extracted source system data for profiling exercise. "

Detail oriented. data warehouse architect responsibilities often require "detail oriented." The duties that rely on this skill are shown by the fact that "working with databases requires an understanding of complex systems, in which a minor error can cause major problems." This resume example shows what data warehouse architects do with detail oriented on a typical day: "trained junior staff, created procedures and very detailed documentation with dts/ssis. "

Communication skills. Another crucial skill for a data warehouse architect to carry out their responsibilities is "communication skills." A big part of what data warehouse architects relies on this skill, since "most database administrators work on teams and need to communicate effectively with developers, managers, and other workers." How this skill relates to data warehouse architect duties can be seen in an example from a data warehouse architect resume snippet: "used hadoop hdfs, python to implement data retention process, monitoring, communication with upstream and downstream application. "

Problem-solving skills. While "problem-solving skills" is last on this skills list, don't underestimate its importance to data warehouse architect responsibilities. Much of what a data warehouse architect does relies on this skill, seeing as "when database problems arise, administrators must troubleshoot and correct the problems." Here is a resume example of how this skill is used in the everyday duties of data warehouse architects: "identify data quality and governance issues and see through to resolution and provide proactive support for the issues. "

Most common data warehouse architect skills

Choose from 10+ customizable data warehouse architect resume templates

Build a professional data warehouse architect resume in minutes. Our AI resume writing assistant will guide you through every step of the process, and you can choose from 10+ resume templates to create your data warehouse architect resume.
Data Warehouse Architect Resume
Data Warehouse Architect Resume
Data Warehouse Architect Resume
Data Warehouse Architect Resume
Data Warehouse Architect Resume
Data Warehouse Architect Resume
Data Warehouse Architect Resume
Data Warehouse Architect Resume
Data Warehouse Architect Resume
Data Warehouse Architect Resume
Data Warehouse Architect Resume
Data Warehouse Architect Resume
Data Warehouse Architect Resume
Data Warehouse Architect Resume
Data Warehouse Architect Resume
Data Warehouse Architect Resume

Compare different data warehouse architects

Data warehouse architect vs. Business intelligence analyst

The primary job of business intelligence (BI) analysts is to analyze data and identify areas of improvement for an organization. These professionals are responsible for identifying trends that may help managers, executives, and other departments make better decisions to improve company processes and modernization. Other duties include identifying areas of revenue loss and ways to maximize profit, analyzing competitors' use of BI, and implementing new methodologies and data analysis. This role is particularly analytical and needs a balance of communication, information technology, and problem-solving skills.

We looked at the average data warehouse architect salary and compared it with the wages of a business intelligence analyst. Generally speaking, business intelligence analysts are paid $30,522 lower than data warehouse architects per year.Even though data warehouse architects and business intelligence analysts are distinct careers, a few of the skills required for both jobs are similar. For example, both careers require analytics, data warehouse, and business intelligence in the day-to-day roles and responsibilities.

These skill sets are where the common ground ends though. The responsibilities of a data warehouse architect are more likely to require skills like "data architecture," "cloud computing," "database design," and "data integration." On the other hand, a job as a business intelligence analyst requires skills like "analyze data," "etl," "strong analytical," and "data models." As you can see, what employees do in each career varies considerably.

Business intelligence analysts really shine in the start-up industry with an average salary of $88,964. Comparatively, data warehouse architects tend to make the most money in the insurance industry with an average salary of $109,898.business intelligence analysts tend to reach similar levels of education than data warehouse architects. In fact, business intelligence analysts are 4.6% less likely to graduate with a Master's Degree and 0.3% more likely to have a Doctoral Degree.

Data warehouse architect vs. Data engineer

A data engineer is someone who makes data science possible. This IT job requires the search for data set trends and algorithm development to make raw data more beneficial to the enterprise. Data engineers are responsible for establishing and maintaining an environment that permits other data functions. The necessary skills for the job include in-depth knowledge of multiple programming languages and SQL database design. Among the other skills data engineers should develop include data warehousing and architecture, data mining and modeling, and statistical regression analysis.

A career as a data engineer brings a lower average salary when compared to the average annual salary of a data warehouse architect. In fact, data engineers salary is $1,096 lower than the salary of data warehouse architects per year.Only some things about these jobs are the same. Take their skills, for example. Data warehouse architects and data engineers both require similar skills like "data warehouse," "power bi," and "data warehousing" to carry out their responsibilities.

While some skills are similar in these professions, other skills aren't so similar. For example, resumes show us that data warehouse architect responsibilities requires skills like "analytics," "business intelligence," "data architecture," and "database design." But a data engineer might use other skills in their typical duties, such as, "python," "cloud," "etl," and "scala."

On average, data engineers earn a lower salary than data warehouse architects. Some industries support higher salaries in each profession. Interestingly enough, data engineers earn the most pay in the technology industry with an average salary of $125,579. Whereas data warehouse architects have higher pay in the insurance industry, with an average salary of $109,898.In general, data engineers achieve lower levels of education than data warehouse architects. They're 6.7% less likely to obtain a Master's Degree while being 0.3% more likely to earn a Doctoral Degree.

What technology do you think will become more important and prevalent for data warehouse architects in the next 3-5 years?

Pavel Chernyavskiy Ph.D.

Assistant Professor of Statistics, University of Wyoming

It is always dangerous to make predictions with technology since things rush. My thought is that access to High-Performance Computing - a centralized high-powered computing cluster - will become more streamlined. This should encourage users to run their complex computing tasks remotely and use their machines for rapid testing and development.

Data warehouse 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.

On average scale, senior data analysts bring in lower salaries than data warehouse architects. In fact, they earn a $19,186 lower salary per year.data warehouse architects and senior data analysts both have job responsibilities that require similar skill sets. These similarities include skills such as "data warehouse," "power bi," and "data warehousing," but they differ when it comes to other required skills.

The required skills of the two careers differ considerably. For example, data warehouse architects are more likely to have skills like "analytics," "business intelligence," "data quality," and "data architecture." But a senior data analyst- is more likely to have skills like "bi," "statistical analysis," "etl," and "powerpoint."

Senior data analysts make a very good living in the government industry with an average annual salary of $96,561. On the other hand, data warehouse architects are paid the highest salary in the insurance industry, with average annual pay of $109,898.Most senior data analysts achieve a lower degree level compared to data warehouse architects. For example, they're 9.2% less likely to graduate with a Master's Degree, and 1.1% less likely to earn a Doctoral Degree.

Data warehouse 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.

Architects and developer tend to earn a higher pay than data warehouse architects by an average of $199 per year.According to resumes from data warehouse architects and architects and developer, some of the skills necessary to complete the responsibilities of each role are similar. These skills include "data warehouse," "data warehousing," and "data lake. "

Even though a few skill sets overlap between data warehouse architects and architects and developer, there are some differences that are important to note. For one, a data warehouse architect might have more use for skills like "analytics," "business intelligence," "power bi," and "data quality." Meanwhile, some responsibilities of architects and developer require skills like "application development," "api," "c++," and "c #. "

The finance industry tends to pay the highest salaries for architects and developer, with average annual pay of $125,314. Comparatively, the highest data warehouse architect annual salary comes from the insurance industry.architects and developer reach lower levels of education compared to data warehouse architects, in general. The difference is that they're 5.3% more likely to earn a Master's Degree, and 1.0% more likely to graduate with a Doctoral Degree.

Types of data warehouse architect

Updated January 8, 2025

Zippia Research Team
Zippia Team

Editorial Staff

The Zippia Research Team has spent countless hours reviewing resumes, job postings, and government data to determine what goes into getting a job in each phase of life. Professional writers and data scientists comprise the Zippia Research Team.

Browse computer and mathematical jobs