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Data warehouse architect skills for your resume and career

Updated January 8, 2025
4 min read
Quoted experts
Michael Brazley Ph.D.,
Feryâl Alayont
Data warehouse architect example skills
Below we've compiled a list of the most critical data warehouse architect skills. We ranked the top skills for data warehouse architects based on the percentage of resumes they appeared on. For example, 11.4% of data warehouse architect resumes contained analytics as a skill. Continue reading to find out what skills a data warehouse architect needs to be successful in the workplace.

15 data warehouse architect skills for your resume and career

1. Analytics

Here's how data warehouse architects use analytics:
  • Lead and manage development, delivery, and enhancements to Nickelodeon Virtual Worlds online user engagement and retention reporting and analytics.
  • Developed infrastructure requirements and multidimensional data models to support aggregate and summary information for marketing analytics.

2. Data Warehouse

Data warehouse, often abbreviated as either DW or DWH is a system used in computing for data analysis as well reporting. The DW is also considered to be an integral component of business intelligence as they also provide storage facilities for both real-time and historical data. ETL and ELT are the two driving forces behind a data warehouse system.

Here's how data warehouse architects use data warehouse:
  • Managed Data Warehouse production environment, monitored Data Warehouse processes and identified, researched and coordinated the resolution of data anomalies.
  • Led effort to integrate division data warehouse design into home office data warehousing initiative as part of corporate consolidation.

3. Business Intelligence

Here's how data warehouse architects use business intelligence:
  • Headed end-to-end design, development, and delivery of business intelligence solutions to support needs for software development and test organizations.
  • Reviewed and graded Business Requirement Documents and High Level Architecture Designs for back-end systems to define/determine impact on business intelligence applications.

4. Power Bi

Here's how data warehouse architects use power bi:
  • Used several custom Power BI Visualizations for specific business requirements.
  • Configured Automatic data refresh using gateway in Power BI.

5. Data Warehousing

Here's how data warehouse architects use data warehousing:
  • Lectured and trained extensively on data warehousing architecture and related technical issues including data quality, metadata and XML.
  • Created, extended, and evangelized a near-real-time infrastructure to support data warehousing.

6. Data Quality

Here's how data warehouse architects use data quality:
  • Worked in areas of Data Management practice, ownership with domain data governance with Metadata Management and Data Quality.
  • Designed an ETL monitoring system to facilitate error detection and data auditing that ensured data quality.

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7. Data Lake

Here's how data warehouse architects use data lake:
  • Helped them to create Master Data Management Warehouse & Data lake repository for reporting.
  • Identify and improve data elements within existing data lakes and new data lakes still in design phase.

8. Data Architecture

Here's how data warehouse architects use data architecture:
  • Provided data strategy, data architecture, system design, component integration, methodology/ process development and overall project technical management.
  • Managed development of an enterprise data architecture and logical models for both dimensional and relational databases.

9. Oracle Sql

Here's how data warehouse architects use oracle sql:
  • Created 150 standard reports in Business Objects and Oracle SQL
  • Developed and tuned complex reporting queries using Oracle SQL.

10. Cloud Computing

Here's how data warehouse architects use cloud computing:
  • Design, Build, implementation, & requirement analysis for Data Centers / Cloud Computing / Cloud / End User Platforms.
  • Evaluate the use of COATS cloud computing solutions which would meet both DOD and civilian security requirements.

11. Java

Java is a widely-known programming language that was invented in 1995 and is owned by Oracle. It is a server-side language that was created to let app developers "write once, run anywhere". It is easy and simple to learn and use and is powerful, fast, and secure. This object-oriented programming language lets the code be reused that automatically lowers the development cost. Java is specially used for android apps, web and application servers, games, database connections, etc. This programming language is closely related to C++ making it easier for the users to switch between the two.

Here's how data warehouse architects use java:
  • Worked with developers to optimize SQL utilized by Java applications.
  • Designed and implemented JAVA EE/CORBA n-tier distributed processing system to automate data streams into Oracle 8.x Data Warehouse.

12. Database Design

Here's how data warehouse architects use database design:
  • Develop logical data models, create physical database designs, assess implementation alternatives and formulate overall design approaches.
  • Led the development of logical data model and physical database design model with associated documentation.

13. PL/SQL

Here's how data warehouse architects use pl/sql:
  • Developed data integration interface for staging and operational data store using SQL*Loader and PL/SQL.
  • Implemented custom transformation using PL/SQL packages for Data reconciliation.

14. Data Integration

Here's how data warehouse architects use data integration:
  • Implemented Oracle GoldenGate for real-time data integration between applications and the data warehouse.
  • Developed Solution Analysis and Concept Document templates used for all Data integration projects.

15. Ssis

SSIC stands for Singapore Standard Industrial Classification. It is a national standard for classifying economic activities such as population censuses, household and business surveys, financial databases etc.

Here's how data warehouse architects use ssis:
  • Developed SSIS packages which load mediation files which get data for all the towers nationwide and load into the Target DB.
  • Worked with another developer to develop SSIS 2008 packages to extract and transform the necessary data from its source.
top-skills

What skills help Data Warehouse Architects find jobs?

Tell us what job you are looking for, we’ll show you what skills employers want.

What data warehouse architect skills would you recommend for someone trying to advance their career?

Michael Brazley Ph.D.Michael Brazley Ph.D. LinkedIn profile

Associate Professor of Architecture, Southern Illinois University Carbondale

Architectural Graduates will have to have very strong computer skills; not just in drawing but in writing also. Graduates will need to know the latest software, and in many cases, help to introduce the latest software to their new companies. Students are learning to make 3D digital videos and virtual reality models.

What type of skills will young data warehouse architects need?

Feryâl AlayontFeryâl Alayont LinkedIn profile

Professor, Grand Valley State University

A mathematics major helps students develop problem-solving, critical thinking, mathematical modeling, and communication skills. Graduates will need to know how these skills are applied in real-world contexts, from communicating their results to a non-mathematical audience to identifying the data or modeling problem behind the real-world issue they are working on. Data analysis and programming skills will be essential as businesses and organizations collect more data through various means. Finally, with the workforce becoming global, diverse, and collaborative, graduates will need teamwork skills to successfully navigate working in the world of varied and international teams regularly.

List of data warehouse architect skills to add to your resume

Data warehouse architect skills

The most important skills for a data warehouse architect resume and required skills for a data warehouse architect to have include:

  • Analytics
  • Data Warehouse
  • Business Intelligence
  • Power Bi
  • Data Warehousing
  • Data Quality
  • Data Lake
  • Data Architecture
  • Oracle Sql
  • Cloud Computing
  • Java
  • Database Design
  • PL/SQL
  • Data Integration
  • Ssis
  • Project Management
  • Metadata
  • Business Processes
  • EDW
  • Physical Data Models
  • Provisioning
  • Azure
  • Data Analysis
  • Microsoft SQL Server
  • Data Marts
  • Data Governance
  • Teradata
  • Schema
  • SSRS
  • Informatica ETL
  • Dashboards
  • OLTP
  • Data Structures
  • Visualization
  • Netezza
  • Windows
  • Profiling
  • OLAP
  • Hadoop
  • Snowflake
  • DBA
  • Informatica Powercenter
  • Cognos
  • Perl
  • ERP
  • SSAS
  • Extraction

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.

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