Data Warehouse Architect

Data Warehouse Architect Resume Keywords and Skills (Hard Skills)

Here are the keywords and skills that appear most frequently on recent Data Warehouse Architect job postings. In other words, these are the most sought after skills by recruiters and hiring managers. Go to Sample Templates ↓ below to see how to include them on your resume.

Remember that every job is different. Instead of including all keywords on your resume, identify those that are most relevant to the job you're applying to. Use the free Targeted Resume tool to help with this.

Choose a category
  • Data Warehousing
  • Extract, Transform, Load (ETL)
  • Data Modeling
  • Informatica
  • Data Warehouse Architecture
  • Requirements Analysis
  • Database Design
  •  Find out what your resume's missing
  • Business Intelligence (BI)
  • Oracle Database
  • Software Development Life Cycle (SDLC)
  • SQL Server Integration Services (SSIS)
  • PL/SQL
  • Microsoft SQL Server
  • SQL
  • Data Integration
  • Databases
  • Data Architecture
  • Hive
  • Hadoop
  • Agile Methodologies

  •   Show full list

Resume Skills: Databases

  • MySQL
  • Oracle
  • IBM DB2
  • MariaDB
  • PostgreSQL
  • SQL Server
  • DB2
  • Teradata
  • Microsoft SQL Server
  • Oracle Database
  • SQL
  • Python (Numpy, Pandas, Matplotlib)
  • MS SQL Server
  • Oracle 12c
  • MongoDB
  •  Match your resume to these skills

Resume Skills: Programming

  • SQL
  • Python
  • Java
  • C/C++
  • XML
  • JavaScript
  • C++
  • PL/SQL
  • Python (Pandas, NumPy)
  • Shell scripts
  • R
  • SQL Server
  • MySQL
  • Oracle
  • IBM DB2
  • Teradata
  • Python (Numpy, Pandas, Matplotlib)
  • C#
  • Shell Scripting
  •  Match your resume to these skills

Resume Skills: Data Warehousing

  • Microsoft Azure
  • Amazon Redshift
  • Google BigQuery
  • Snowflake
  • Informatica
  • Talend
  • IBM Infosphere
  • Oracle Warehouse Builder
  • Microsoft SSIS
  • PowerCenter
  • DataStage
  • Business Objects
  • ETL
  • OLAP
  • Oracle
  • SQL Server
  •  Match your resume to these skills

Resume Skills: Reporting & Analytics

Resume Skills: Big Data Technologies

Resume Skills: Project Management

Resume Skills: Data Warehouse Tools

Resume Skills: Additional Tools

  Does your resume contain all the right skills? Paste in your resume in the AI Resume Scan ↓ section below and get an instant score.

Compare Your Resume To These Data Warehouse Architect Skills (ATS Scan)

Paste your resume below and our AI will identify which keywords are missing from your resume from the list above (and what you need to include). Including the right keywords will help you get past Applicant Tracking Systems (i.e. resume screeners) which may scan your resume for keywords to see if you're a match for the job.

Sample Data Warehouse Architect Resume Examples: How To Include These Skills

Add keywords directly into your resume's work experiences, education or Skills section, like we've shown in the examples below. Use the examples below as inspiration.

Choose a template
Your Name
Data Warehouse Architect
City, Country  •  (123) 456-789  •  [email protected]  •
EXPERIENCE January 2022 - Present
Senior Data Warehouse Architect
Revamped the company's ETL infrastructures, speeding data processing by 35% and reducing costs.
Supervised a team of 5, overseeing the design, development, and maintenance of new data architecture. Improved system performance by 40% and increased data accuracy.
Employed Informatica Power Center for efficient data integration which led to a 20% reduction in data redundancy.
Orchestrated the transition from Oracle database to Microsoft SQL Server, decreasing server downtime by 15%.
Utilized Agile Methodologies in the SDLC to keep delivery milestones on track which improved efficiency by 25%.
Resume Worded January 2018 - December 2021
Data Warehouse Architect
Implemented a business intelligence strategy improving decision making by incorporating BI tools into data warehouse systems.
Outlined and executed the framework for data warehousing by adopting strategic patterns of ETL process which increased data accuracy by 30%.
Accomplished seamless data integration by utilizing Hive and Hadoop in managing and processing of the big data.
Microsoft June 2015 - December 2017
Senior Data Warehouse Analyst
Assumed responsibility for data modeling and database design, reducing data arrangement complications by 25%.
Analyzed software development requirements, leading to the formulation of an effective data strategy and achieving a 20% improvement in overall SDLC efficiency.
Pioneered in the use of PL/SQL scripts to track database performance, increasing efficiency in resolving data-related issues.
Resume Worded University June 2015
Master of Science in Computer Science - Data Science Specialization
Studied advanced modules in Database Management, AI and Machine Learning
Resume Worded Academic Center December 2014
Certification in Data Warehousing
Focus on Data Modelling and Strong Experience with ETL tools
Database Management: Oracle, MySQL, SQL Server, DB2, Teradata
Data Warehouse Tools: SAP Business Warehouse, IBM Cognos, Microsoft SSIS, Pentaho Data Integration, Talend
Programming: JavaScript, Python, C++, Java
Big Data Technologies: Hadoop, Apache Hive, Spark, NoSQL
Certifications: AWS Certified Big Data - Specialty (2021), Oracle Certified Professional (2020)
Leadership & Volunteering: Mentor - TechWomen Program (Since 2017), Volunteer - Introduce Coding to Kids Campaign (2018-2019)
Awards: Employee of the Year - Resume Worded (2019, 2020), Top Performer - Microsoft (2017)
Projects: Lead Project - Optimized Real-Time Data Analytics for an E-commerce Client, resulting in 10% increase in sales
Your Name
Data Warehouse Engineer
City, Country  •  (123) 456-789  •  [email protected]  •
EXPERIENCE February 2021 - Present
Senior Data Warehouse Engineer
Designed and implemented data warehousing systems, achieving high performance data storage which reduced data redundancy by 20%.
Directed successful migration from legacy systems to the Hive platform, increasing big data processing speed by 40%.
Orchestrated complex data models utilizing Informatica for efficient ETL process management, reducing data transformation time by 30%.
Developed a comprehensive understanding of end user requirements and translated them into actionable SDLC plans. This resulted in a 15% reduction in software development time.
Demonstrated expertise with SQL server integration services resulting in better ETL performance, and elevating data processing speed by 20%.
Resume Worded January 2017 - January 2021
Data Warehouse Engineer
Implemented data integration best practices, improving data flow and consistency by 30%.
Employed SQL Server database, which enhanced data security and integrity, reducing data incidents by 20%.
Facilitated timely delivery of projects using Agile methodologies, improving overall team productivity by 25%.
IBM June 2014 - December 2016
SQL Database Developer
Achieved 100% accuracy rate in database design and optimization, leading to improved data storage capabilities.
Applied advanced SQL scripting, reducing data retrieval time by 20% and accelerating decision-making processes.
Resume Worded University December 2013
Master's degree in Information Systems & Data Analytics
Focal Area: Big Data Analytics
Resume Worded Institute May 2010
Bachelor of Technology - Computer Engineering
Minor in Database Systems
Awards: Resume Worded Tech Innovator (only 3 awarded), Dean's List (Top 5%)
Programming Languages: Python, SQL, Java, C#, Shell Scripting
Data Warehousing Tools: IBM Infosphere, Oracle Warehouse Builder, Microsoft SSIS, Amazon Redshift, Google BigQuery
Database Systems: Microsoft SQL Server, Oracle Database, IBM DB2, MySQL
Big Data & Cloud platforms: Hadoop Ecosystem (MapReduce, Hive, Pig), Spark, AWS (EC2, S3), Azure, GCP
Certifications: Microsoft Certified: Azure Data Engineer Associate (2022), IBM Certified Database Administrator – DB2 (2016)
Awards: Employee of the Year at for innovative system improvements (2022), Exceptional Performer at Resume Worded for consecutive years (2019, 2020)
Projects: Designed and implemented a database migration project that enhanced system performance by 30% at Resume Worded
Volunteering: Tech Mentor at Coding For All, a non-profit organization that empowers minority groups in the tech industry (2019-present)
Your Name
Senior Data Warehouse Analyst
City, Country  •  (123) 456-789  •  [email protected]  •
Resume Worded March 2020 - Present
Lead Data Warehouse Analyst
Championed the use of Informatica in ETL operations, speeding up data loading times by 25% and raising productivity.
Headed the integration of Oracle databases with BI tools, resulting in a 30% increase in the accuracy of business insights.
Managed a team of 4 analysts, mentoring them in data architecture design principles, improving team performance by 40%.
Delivered data-driven strategies and transformative projects using an Agile SDLC approach, resulting in 20% faster project completion and a 30% increase in project success rate.
Used Microsoft SQL Server to ensure robust database management, decreasing downtime by 15% and increasing data reliability by 20%. July 2016 - February 2020
Senior Data Warehouse Analyst
Instituted a standardized procedure for data modeling, enhancing the efficiency of the warehouse system by 35%.
Used Hadoop for big data processing, speeding up data analysis times by 25% and ensuring availability of up-to-date business intelligence.
Led requirements analysis initiatives for software projects, improving on-time delivery by 30%.
Amazon January 2013 - June 2016
Data Warehouse Analyst
Performed the extraction, transformation, and loading (ETL) of data using SSIS, resulting in improved data quality by 20%.
Conducted regular performance checks using PL/SQL, helping identify and address database bottlenecks early thus reducing downtime.
Resume Worded University June 2012
Master of Science - Data Science
Dissertation: 'Advanced Techniques in Data Warehousing'
Resume Worded Academic Center May 2009
Bachelor of Science - Computer Science
Minors in Statistics and Information Systems
Graduated Magna Cum Laude (Top 10%)
Programming & Databases: SQL Server, MySQL, Oracle, IBM DB2, Teradata, SQL, Python (Numpy, Pandas, Matplotlib)
Data Warehousing: Informatica, PowerCenter, DataStage, Business Objects, ETL, OLAP
Reporting & Analytics: Tableau, QlikView, SAS, MS Power BI, D3.js, Apache Hadoop, Apache Spark
Project Management: Microsoft Project, Atlassian Jira, Agile/Scrum methodologies, Lean Six Sigma

How do I add skills to a Data Warehouse Architect resume?

Review the job posting closely.

Go through the Data Warehouse Architect posting you're applying to, and identify hard skills the company is looking for. For example, skills like Business Intelligence (BI), Data Modeling and Requirements Analysis are possible skills. These are skills you should try to include on your resume.

Add industry skills like Database Design and Informatica.

Add other common skills from your industry - such as Data Warehousing, Extract, Transform, Load (ETL) and Data Warehouse Architecture - into your resume if they're relevant.

Add skills into your work experience.

Incorporate skills - like Hadoop, SQL Server Integration Services (SSIS) and Data Architecture - into your work experience too. This shows hiring managers that you have practical experience with these tools, techniques and skills.

Show evidence of your analytical skills.

Analytical skills involve your ability to break down a problem and come up with effective solutions. On Data Warehouse Architect resumes, hiring managers want to see evidence of how you analyzed quantitative or qualitative data.

Show your ability to analyze data.

In your Data Warehouse Architect resume, show evidence of where you worked with and analyzed data of all formats, whether they're surveys, spreadsheets or databases. We've highlighted examples in the infographic for reference.

Use the exact job title.

Try to add the exact job title, Data Warehouse Architect, somewhere into your resume to get past resume screeners. See the infographic for how to do this.

Word Cloud for Data Warehouse Architect Skills & Keywords

The following word cloud highlights the most popular keywords that appear on Data Warehouse Architect job descriptions. The bigger the word, the more frequently it shows up on employer's job postings. If you have experience with these keywords, include them on your resume.

Top Data Warehouse Architect Skills and Keywords to Include On Your Resume

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Data Warehouse Architect Resume Templates

Here are examples of proven resumes in related jobs and industries, approved by experienced hiring managers. Use them as inspiration when you're writing your own resume. You can even download and edit the resume template in Google Docs.

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Frequently Asked Questions

What skills should you add to a Data Warehouse Architect resume?

The most common skills and keywords we found on Data Warehouse Architect resumes and job postings were Data Warehousing, Extract, Transform, Load (ETL), Data Modeling, Informatica, Data Warehouse Architecture, Requirements Analysis, Database Design and Business Intelligence (BI).

Skills like SQL Server Integration Services (SSIS), Data Architecture, Hadoop, Databases and Oracle Database also appeared on related job postings.

Target your Resume to a Job Description

While the keywords above are a good indication of what skills you need on your resume, you should try to find additional keywords that are specific to the job. To do this, use the free Targeted Resume tool. It analyzes the job you are applying to and finds the most important keywords you need on your resume.

It is personalized to your resume, and is the best way to ensure your resume will pass the automated resume filters.

Start targeting your resume

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